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
Relaxed Quantile Regression: Prediction Intervals for Asymmetric Noise T. Pouplin Alan Jeffares Nabeel Seedat Mihaela van der Schaar 58 3 0 05 Jun 2024
Posterior Label Smoothing for Node Classification Jaeseung Heo M. Park Dongwoo Kim UQCV 40 0 0 01 Jun 2024
Accurate and Reliable Predictions with Mutual-Transport Ensemble Han Liu Peng Cui Bingning Wang Jun Zhu Xiaolin Hu UQCV 34 0 0 30 May 2024
RC-Mixup: A Data Augmentation Strategy against Noisy Data for Regression Tasks Seonghyeon Hwang Minsu Kim Steven Euijong Whang NoLa 46 2 0 28 May 2024
InfRS: Incremental Few-Shot Object Detection in Remote Sensing Images Wuzhou Li Jiawei Zhou Xiang Li Yi Cao Guanglu Jin Xuemin Zhang 48 1 0 18 May 2024
Dynamic Loss Decay based Robust Oriented Object Detection on Remote Sensing Images with Noisy Labels Guozhang Liu Ting Liu Mengke Yuan Tao Pang Guangxing Yang Hao Fu Tao Wang Tongkui Liao NoLa 34 1 0 15 May 2024
Center-Based Relaxed Learning Against Membership Inference Attacks Xingli Fang Jung-Eun Kim 51 2 0 26 Apr 2024
Cross-Platform Hate Speech Detection with Weakly Supervised Causal Disentanglement Paras Sheth Tharindu Kumarage Raha Moraffah Amanat Chadha Huan Liu 40 1 0 17 Apr 2024
Calibration of Continual Learning Models Lanpei Li Elia Piccoli Andrea Cossu Davide Bacciu Vincenzo Lomonaco CLL 45 2 0 11 Apr 2024
Minimizing Chebyshev Prototype Risk Magically Mitigates the Perils of Overfitting Nathaniel R. Dean Dilip Sarkar AAML 36 0 0 10 Apr 2024
Noisy Label Processing for Classification: A Survey Mengting Li Chuang Zhu NoLa 45 1 0 05 Apr 2024
Rolling the dice for better deep learning performance: A study of randomness techniques in deep neural networks Mohammed Ghaith Altarabichi Sławomir Nowaczyk Sepideh Pashami Peyman Sheikholharam Mashhadi Julia Handl 34 9 0 05 Apr 2024
Sparse Concept Bottleneck Models: Gumbel Tricks in Contrastive Learning Andrei Semenov Vladimir Ivanov Aleksandr Beznosikov Alexander Gasnikov 42 6 0 04 Apr 2024
The Role of $n$ -gram Smoothing in the Age of Neural Networks Luca Malagutti Andrius Buinovskij Anej Svete Clara Meister Afra Amini Ryan Cotterell 43 6 0 25 Mar 2024
Do not trust what you trust: Miscalibration in Semi-supervised Learning Shambhavi Mishra Balamurali Murugesan Ismail Ben Ayed M. Pedersoli Jose Dolz 50 2 0 22 Mar 2024
Diversity-Aware Agnostic Ensemble of Sharpness Minimizers Anh-Vu Bui Vy Vo Tung Pham Dinh Q. Phung Trung Le FedML UQCV 37 1 0 19 Mar 2024
Confidence Self-Calibration for Multi-Label Class-Incremental Learning Kaile Du Yifan Zhou Fan Lyu Yuyang Li Chen Lu Guangcan Liu CLL 49 2 0 19 Mar 2024
Class and Region-Adaptive Constraints for Network Calibration Balamurali Murugesan Julio Silva-Rodríguez Ismail Ben Ayed Jose Dolz 38 1 0 19 Mar 2024
Probabilistic Calibration by Design for Neural Network Regression V. Dheur Souhaib Ben Taieb 37 3 0 18 Mar 2024
Soften to Defend: Towards Adversarial Robustness via Self-Guided Label Refinement Daiwei Yu Zhuorong Li Lina Wei Canghong Jin Yun Zhang Sixian Chan 39 5 0 14 Mar 2024
GRAWA: Gradient-based Weighted Averaging for Distributed Training of Deep Learning Models Tolga Dimlioglu A. Choromańska 47 3 0 07 Mar 2024
Restricted Bayesian Neural Network Sourav Ganguly Saprativa Bhattacharjee UQCV BDL 23 0 0 06 Mar 2024
Revisiting Confidence Estimation: Towards Reliable Failure Prediction Fei Zhu Xu-Yao Zhang Zhen Cheng Cheng-Lin Liu UQCV 57 10 0 05 Mar 2024
Addressing Long-Tail Noisy Label Learning Problems: a Two-Stage Solution with Label Refurbishment Considering Label Rarity Ying-Hsuan Wu Jun-Wei Hsieh Li Xin Shin-You Teng Yi-Kuan Hsieh Ming-Ching Chang NoLa 53 0 0 04 Mar 2024
Towards Calibrated Deep Clustering Network Yuheng Jia Jianhong Cheng Hui Liu Junhui Hou UQCV 58 1 0 04 Mar 2024
Confidence-Aware Multi-Field Model Calibration Yuang Zhao Chuhan Wu Qinglin Jia Hong Zhu Jia Yan Libin Zong Linxuan Zhang Zhenhua Dong Muyu Zhang 38 1 0 27 Feb 2024
Thermometer: Towards Universal Calibration for Large Language Models Maohao Shen Subhro Das Kristjan Greenewald P. Sattigeri Greg Wornell Soumya Ghosh 72 10 0 20 Feb 2024
Knowledge Distillation Based on Transformed Teacher Matching Kaixiang Zheng En-Hui Yang 37 19 0 17 Feb 2024
Selective Learning: Towards Robust Calibration with Dynamic Regularization Zongbo Han Yifeng Yang Changqing Zhang Linjun Zhang Qiufeng Wang Qinghua Hu 29 4 0 13 Feb 2024
Tighter Bounds on the Information Bottleneck with Application to Deep Learning Nir Weingarten Z. Yakhini Moshe Butman Ran Gilad-Bachrach AAML 30 1 0 12 Feb 2024
OSSAR: Towards Open-Set Surgical Activity Recognition in Robot-assisted Surgery Long Bai Guan-Feng Wang Jie Wang Xiaoxiao Yang Huxin Gao Xin Liang An-Chi Wang Mobarakol Islam Hongliang Ren 39 6 0 10 Feb 2024
For Better or For Worse? Learning Minimum Variance Features With Label Augmentation Muthuraman Chidambaram Rong Ge AAML 35 0 0 10 Feb 2024
Mitigating Privacy Risk in Membership Inference by Convex-Concave Loss Zhenlong Liu Lei Feng Huiping Zhuang Xiaofeng Cao Hongxin Wei 32 2 0 08 Feb 2024
Revisiting Early-Learning Regularization When Federated Learning Meets Noisy Labels Taehyeon Kim Donggyu Kim SeYoung Yun 24 1 0 08 Feb 2024
Flexible Variational Information Bottleneck: Achieving Diverse Compression with a Single Training Sota Kudo N. Ono Shigehiko Kanaya Ming Huang 18 1 0 02 Feb 2024
Neighbor-Aware Calibration of Segmentation Networks with Penalty-Based Constraints Balamurali Murugesan Sukesh Adiga Vasudeva Bingyuan Liu H. Lombaert Ismail Ben Ayed Jose Dolz UQCV 44 5 0 25 Jan 2024
Risk Taxonomy, Mitigation, and Assessment Benchmarks of Large Language Model Systems Tianyu Cui Yanling Wang Chuanpu Fu Yong Xiao Sijia Li ... Junwu Xiong Xinyu Kong Zujie Wen Ke Xu Qi Li 63 57 0 11 Jan 2024
De-Confusing Pseudo-Labels in Source-Free Domain Adaptation I. Diamant Amir Rosenfeld Idan Achituve Jacob Goldberger Arnon Netzer 36 1 0 03 Jan 2024
Neural Networks Against (and For) Self-Training: Classification with Small Labeled and Large Unlabeled Sets Payam Karisani 28 1 0 31 Dec 2023
Jeffreys divergence-based regularization of neural network output distribution applied to speaker recognition Pierre-Michel Bousquet Mickael Rouvier UQCV 16 2 0 28 Dec 2023
Structured Probabilistic Coding Dou Hu Lingwei Wei Yaxin Liu Wei Zhou Songlin Hu 23 1 0 21 Dec 2023
CR-SAM: Curvature Regularized Sharpness-Aware Minimization Tao Wu Tie Luo D. C. Wunsch 24 3 0 21 Dec 2023
Revisiting the Entropy Semiring for Neural Speech Recognition Oscar Chang DongSeon Hwang Olivier Siohan 34 2 0 13 Dec 2023
Improving Plasticity in Online Continual Learning via Collaborative Learning Maorong Wang Nicolas Michel Ling Xiao Toshihiko Yamasaki CLL 33 8 0 01 Dec 2023
Robust Contrastive Learning With Theory Guarantee Ngoc N. Tran Lam C. Tran Hoang Phan Anh-Vu Bui Tung Pham Toan M. Tran Dinh Q. Phung Trung Le SSL NoLa 34 0 0 16 Nov 2023
A Survey of Confidence Estimation and Calibration in Large Language Models Jiahui Geng Fengyu Cai Yuxia Wang Heinz Koeppl Preslav Nakov Iryna Gurevych UQCV 43 56 0 14 Nov 2023
Towards the Law of Capacity Gap in Distilling Language Models Chen Zhang Dawei Song Zheyu Ye Yan Gao ELM 38 20 0 13 Nov 2023
A Saliency-based Clustering Framework for Identifying Aberrant Predictions A. Tersol Montserrat Alexander R. Loftus Yael Daihes 12 0 0 11 Nov 2023
Cal-DETR: Calibrated Detection Transformer Muhammad Akhtar Munir Salman Khan Muhammad Haris Khan Mohsen Ali Fahad Shahbaz Khan 48 8 0 06 Nov 2023
Tailoring Mixup to Data for Calibration Quentin Bouniot Pavlo Mozharovskyi Florence dÁlché-Buc 61 1 0 02 Nov 2023