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
Focused Concatenation for Context-Aware Neural Machine Translation Lorenzo Lupo Marco Dinarelli Laurent Besacier 27 8 0 24 Oct 2022
Does Joint Training Really Help Cascaded Speech Translation? Viet Anh Khoa Tran David Thulke Yingbo Gao Christian Herold Hermann Ney 38 3 0 24 Oct 2022
Hard Gate Knowledge Distillation -- Leverage Calibration for Robust and Reliable Language Model Dongkyu Lee Zhiliang Tian Ying Zhao Ka Chun Cheung N. Zhang 30 3 0 22 Oct 2022
Adaptive Label Smoothing with Self-Knowledge in Natural Language Generation Dongkyu Lee Ka Chun Cheung N. Zhang 21 6 0 22 Oct 2022
On the Calibration of Massively Multilingual Language Models Kabir Ahuja Sunayana Sitaram Sandipan Dandapat Monojit Choudhury 76 16 0 21 Oct 2022
Self-Supervised Learning via Maximum Entropy Coding Xin Liu Zhongdao Wang Yali Li Shengjin Wang SSL 39 40 0 20 Oct 2022
A Survey of Computer Vision Technologies In Urban and Controlled-environment Agriculture Jiayun Luo Boyang Albert Li Cyril Leung 53 11 0 20 Oct 2022
A Consistent and Differentiable Lp Canonical Calibration Error Estimator Teodora Popordanoska Raphael Sayer Matthew B. Blaschko UQCV 29 29 0 13 Oct 2022
Reinforcement Learning with Large Action Spaces for Neural Machine Translation Asaf Yehudai Leshem Choshen Lior Fox Omri Abend 28 6 0 06 Oct 2022
OBBStacking: An Ensemble Method for Remote Sensing Object Detection H. Lin Chang Sun Yunpeng Liu 24 5 0 27 Sep 2022
Mutual Information Learned Classifiers: an Information-theoretic Viewpoint of Training Deep Learning Classification Systems Jirong Yi Q. Zhang Zhenji Chen Qiaoan Liu Weizhuo Shao SSL FedML 36 3 0 21 Sep 2022
Fine-grained Classification of Solder Joints with α-skew Jensen-Shannon Divergence Furkan Ulger S. E. Yuksel Atila Yilmaz Dincer Gokcen UQCV 26 3 0 20 Sep 2022
Towards Improving Calibration in Object Detection Under Domain Shift Muhammad Akhtar Munir M. H. Khan M. Sarfraz Mohsen Ali 19 22 0 15 Sep 2022
Improving Model Training via Self-learned Label Representations Xiao Yu Nakul Verma SSL 30 0 0 09 Sep 2022
Calibrating Segmentation Networks with Margin-based Label Smoothing Balamurali Murugesan Bingyuan Liu Adrian Galdran Ismail Ben Ayed Jose Dolz UQCV 32 0 0 09 Sep 2022
Membership Inference Attacks by Exploiting Loss Trajectory Yiyong Liu Zhengyu Zhao Michael Backes Yang Zhang 27 98 0 31 Aug 2022
Lower Difficulty and Better Robustness: A Bregman Divergence Perspective for Adversarial Training Zihui Wu Haichang Gao Bingqian Zhou Xiaoyan Guo Shudong Zhang AAML 38 0 0 26 Aug 2022
Self-Filtering: A Noise-Aware Sample Selection for Label Noise with Confidence Penalization Qinglai Wei Haoliang Sun Xiankai Lu Yilong Yin NoLa 22 43 0 24 Aug 2022
FS-BAN: Born-Again Networks for Domain Generalization Few-Shot Classification Yunqing Zhao Ngai-man Cheung BDL 25 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 38 6 0 23 Aug 2022
Label-Noise Learning with Intrinsically Long-Tailed Data Yang Lu Yiliang Zhang Bo Han Y. Cheung Hanzi Wang NoLa 48 17 0 21 Aug 2022
Regularizing Deep Neural Networks with Stochastic Estimators of Hessian Trace Yucong Liu Shixing Yu Tong Lin 33 1 0 11 Aug 2022
Safety and Performance, Why not Both? Bi-Objective Optimized Model Compression toward AI Software Deployment Jie Zhu Leye Wang Xiao Han 35 9 0 11 Aug 2022
Preserving Fine-Grain Feature Information in Classification via Entropic Regularization Raphael Baena Lucas Drumetz Vincent Gripon 27 3 0 07 Aug 2022
Improving the Trainability of Deep Neural Networks through Layerwise Batch-Entropy Regularization David Peer Bart Keulen Sebastian Stabinger J. Piater A. Rodríguez-Sánchez 42 6 0 01 Aug 2022
RelaxLoss: Defending Membership Inference Attacks without Losing Utility Dingfan Chen Ning Yu Mario Fritz 24 40 0 12 Jul 2022
Predicting Out-of-Domain Generalization with Neighborhood Invariance Nathan Ng Neha Hulkund Kyunghyun Cho Marzyeh Ghassemi OOD 32 4 0 05 Jul 2022
Eliciting and Learning with Soft Labels from Every Annotator Katherine M. Collins Umang Bhatt Adrian Weller 31 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 Clifton N. Robertson 33 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 93 41 0 29 Jun 2022
Construct a Sentence with Multiple Specified Words Yuanliang Meng 16 0 0 25 Jun 2022
Out-of-distribution Detection by Cross-class Vicinity Distribution of In-distribution Data Zhilin Zhao LongBing Cao Kun-Yu Lin OOD 24 2 0 19 Jun 2022
Supervision Adaptation Balancing In-distribution Generalization and Out-of-distribution Detection Zhilin Zhao LongBing Cao Kun-Yu Lin 24 4 0 19 Jun 2022
A Gift from Label Smoothing: Robust Training with Adaptive Label Smoothing via Auxiliary Classifier under Label Noise Jongwoo Ko Bongsoo Yi Se-Young Yun NoLa 30 5 0 15 Jun 2022
AuxMix: Semi-Supervised Learning with Unconstrained Unlabeled Data Amin Banitalebi-Dehkordi Pratik Gujjar Yong Zhang SSL 26 8 0 14 Jun 2022
Improving Adversarial Robustness by Putting More Regularizations on Less Robust Samples Dongyoon Yang Insung Kong Yongdai Kim OOD AAML 21 9 0 07 Jun 2022
Adversarial Unlearning: Reducing Confidence Along Adversarial Directions Amrith Rajagopal Setlur Benjamin Eysenbach Virginia Smith Sergey Levine 19 18 0 03 Jun 2022
CHALLENGER: Training with Attribution Maps Christian Tomani Daniel Cremers 12 1 0 30 May 2022
Re-Examining Calibration: The Case of Question Answering Chenglei Si Chen Zhao Sewon Min Jordan L. Boyd-Graber 67 30 0 25 May 2022
FedEntropy: Efficient Device Grouping for Federated Learning Using Maximum Entropy Judgment Zhiwei Ling Zhihao Yue Jun Xia Ming Hu Ting Wang Mingsong Chen FedML 34 8 0 24 May 2022
The Implicit Length Bias of Label Smoothing on Beam Search Decoding Bowen Liang Pidong Wang Yuan Cao 24 1 0 02 May 2022
Loss Function Entropy Regularization for Diverse Decision Boundaries S. Chong 27 2 0 30 Apr 2022
PolyLoss: A Polynomial Expansion Perspective of Classification Loss Functions Zhaoqi Leng Mingxing Tan Chenxi Liu E. D. Cubuk Xiaojie Shi Shuyang Cheng Drago Anguelov 26 134 0 26 Apr 2022
BLCU-ICALL at SemEval-2022 Task 1: Cross-Attention Multitasking Framework for Definition Modeling Cunliang Kong Yujie Wang Ruining Chong Liner Yang Hengyuan Zhang Erhong Yang Yaping Huang 17 8 0 16 Apr 2022
On the Role of Pre-trained Language Models in Word Ordering: A Case Study with BART Zebin Ou Meishan Zhang Yue Zhang 35 2 0 15 Apr 2022
Out-Of-Distribution Detection In Unsupervised Continual Learning Jiangpeng He F. Zhu OODD 31 8 0 12 Apr 2022
Robust Cross-Modal Representation Learning with Progressive Self-Distillation A. Andonian Shixing Chen Raffay Hamid VLM 34 54 0 10 Apr 2022
Towards Robust Adaptive Object Detection under Noisy Annotations Xinyu Liu Wuyang Li Qiushi Yang Baopu Li Yixuan Yuan 24 29 0 06 Apr 2022
Acknowledging the Unknown for Multi-label Learning with Single Positive Labels Donghao Zhou Pengfei Chen Qiong Wang Guangyong Chen Pheng-Ann Heng 25 28 0 30 Mar 2022
Part-based Pseudo Label Refinement for Unsupervised Person Re-identification Y. Cho Woo Jae Kim Seunghoon Hong Sung-eui Yoon 31 166 0 28 Mar 2022