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
Noise Correction on Subjective Datasets Uthman Jinadu Yi Ding 17 1 0 01 Nov 2023
LitCab: Lightweight Language Model Calibration over Short- and Long-form Responses Xin Liu Muhammad Khalifa Lu Wang ALM 39 18 0 30 Oct 2023
Knowing What LLMs DO NOT Know: A Simple Yet Effective Self-Detection Method Yukun Zhao Lingyong Yan Weiwei Sun Guoliang Xing Chong Meng Shuaiqiang Wang Zhicong Cheng Zhaochun Ren Dawei Yin 36 37 0 27 Oct 2023
DSAC-C: Constrained Maximum Entropy for Robust Discrete Soft-Actor Critic Dexter Neo Tsuhan Chen 30 1 0 26 Oct 2023
MaxEnt Loss: Constrained Maximum Entropy for Calibration under Out-of-Distribution Shift Dexter Neo Stefan Winkler Tsuhan Chen OODD 24 3 0 26 Oct 2023
Ordinal Classification with Distance Regularization for Robust Brain Age Prediction Jay Shah M. R. Siddiquee Yi Su Teresa Wu Baoxin Li OOD 26 2 0 25 Oct 2023
From Simple to Complex: A Progressive Framework for Document-level Informative Argument Extraction Quzhe Huang Yanxi Zhang Dongyan Zhao AI4TS 39 8 0 25 Oct 2023
XFEVER: Exploring Fact Verification across Languages Yi-Chen Chang Canasai Kruengkrai Junichi Yamagishi HILM 23 3 0 25 Oct 2023
SEE-OoD: Supervised Exploration For Enhanced Out-of-Distribution Detection Xiaoyang Song Wenbo Sun Maher Nouiehed Raed Al Kontar J. Jin OODD 36 0 0 12 Oct 2023
Be Careful What You Smooth For: Label Smoothing Can Be a Privacy Shield but Also a Catalyst for Model Inversion Attacks Lukas Struppek Dominik Hintersdorf Kristian Kersting 30 12 0 10 Oct 2023
Robust-GBDT: GBDT with Nonconvex Loss for Tabular Classification in the Presence of Label Noise and Class Imbalance Jiaqi Luo Yuedong Quan Shixin Xu 43 2 0 08 Oct 2023
A Metacognitive Approach to Out-of-Distribution Detection for Segmentation Meghna Gummadi Cassandra Kent Karl Schmeckpeper Eric Eaton UQCV 37 1 0 04 Oct 2023
R-divergence for Estimating Model-oriented Distribution Discrepancy Zhilin Zhao Longbing Cao 64 1 0 02 Oct 2023
Semi-Supervised Domain Generalization for Object Detection via Language-Guided Feature Alignment Sina Malakouti Adriana Kovashka ObjD 27 2 0 24 Sep 2023
Learning to Diversify Neural Text Generation via Degenerative Model Jimin Hong chaeHun Park Jaegul Choo 34 0 0 22 Sep 2023
Reducing the False Positive Rate Using Bayesian Inference in Autonomous Driving Perception Gledson Melotti Johann J. S. Bastos Bruno L. S. da Silva Tiago Zanotelli C. Premebida 19 0 0 09 Sep 2023
Improving Resnet-9 Generalization Trained on Small Datasets Omar Mohamed Awad Habib Hajimolahoseini Michael Lim Gurpreet Gosal Walid Ahmed Yang Liu Gordon Deng 39 2 0 07 Sep 2023
Multiclass Alignment of Confidence and Certainty for Network Calibration Vinith Kugathasan M. H. Khan UQCV 22 1 0 06 Sep 2023
Decoupled Local Aggregation for Point Cloud Learning Binjie Chen Yunzhou Xia Yu Zang Cheng-Yu Wang Jonathan Li 3DPC 39 9 0 31 Aug 2023
RankMixup: Ranking-Based Mixup Training for Network Calibration Jongyoun Noh Hyekang Park Junghyup Lee Bumsub Ham UQCV 32 10 0 23 Aug 2023
ACLS: Adaptive and Conditional Label Smoothing for Network Calibration Hyekang Park Jongyoun Noh Youngmin Oh Donghyeon Baek Bumsub Ham UQCV 36 12 0 23 Aug 2023
Training BERT Models to Carry Over a Coding System Developed on One Corpus to Another Dalma Galambos Pál Zsámboki 19 0 0 07 Aug 2023
Calibration in Deep Learning: A Survey of the State-of-the-Art Cheng Wang UQCV 36 37 0 02 Aug 2023
LaplaceConfidence: a Graph-based Approach for Learning with Noisy Labels Mingcai Chen Yuntao Du Wei Tang Baoming Zhang Hao Cheng Shuwei Qian Chongjun Wang NoLa 30 1 0 31 Jul 2023
A Noisy-Label-Learning Formulation for Immune Repertoire Classification and Disease-Associated Immune Receptor Sequence Identification Mingcai Chen Yu Zhao Zhonghuang Wang Bing He Jianhua Yao 24 2 0 29 Jul 2023
Investigating the Learning Behaviour of In-context Learning: A Comparison with Supervised Learning Xindi Wang Yufei Wang Can Xu Xiubo Geng Bowen Zhang Chongyang Tao Frank Rudzicz Robert E. Mercer Daxin Jiang 33 11 0 28 Jul 2023
EnSolver: Uncertainty-Aware Ensemble CAPTCHA Solvers with Theoretical Guarantees D. C. Hoang Behzad Ousat Amin Kharraz Cuong V Nguyen AAML 28 1 0 27 Jul 2023
Model Calibration in Dense Classification with Adaptive Label Perturbation Jiawei Liu Changkun Ye Shanpeng Wang Rui-Qing Cui Jing Zhang Kai Zhang Nick Barnes 47 5 0 25 Jul 2023
Why Is Prompt Tuning for Vision-Language Models Robust to Noisy Labels? Cheng-En Wu Yu Tian Haichao Yu Heng Wang Pedro Morgado Yu Hen Hu Linjie Yang NoLa VPVLM VLM 37 19 0 22 Jul 2023
GenKL: An Iterative Framework for Resolving Label Ambiguity and Label Non-conformity in Web Images Via a New Generalized KL Divergence Xia Huang Kai Fong Ernest Chong 42 2 0 19 Jul 2023
Threshold-Consistent Margin Loss for Open-World Deep Metric Learning Qin Zhang Linghan Xu Qingming Tang Jun Fang Yingqi Wu Joseph Tighe Yifan Xing 27 4 0 08 Jul 2023
Towards Unbiased Exploration in Partial Label Learning Zsolt Zombori Agapi Rissaki Kristóf Szabó Wolfgang Gatterbauer Michael Benedikt SSL UQCV 38 1 0 02 Jul 2023
Navigating Noise: A Study of How Noise Influences Generalisation and Calibration of Neural Networks Martin Ferianc Ondrej Bohdal Timothy M. Hospedales Miguel R. D. Rodrigues 28 4 0 30 Jun 2023
Confidence-Based Model Selection: When to Take Shortcuts for Subpopulation Shifts Annie S. Chen Yoonho Lee Amrith Rajagopal Setlur Sergey Levine Chelsea Finn OOD 24 5 0 19 Jun 2023
Multiclass Confidence and Localization Calibration for Object Detection Bimsara Pathiraja Malitha Gunawardhana M. H. Khan UQCV 34 15 0 14 Jun 2023
Boosting Adversarial Robustness using Feature Level Stochastic Smoothing Sravanti Addepalli Samyak Jain Gaurang Sriramanan R. Venkatesh Babu AAML 25 6 0 10 Jun 2023
Prefer to Classify: Improving Text Classifiers via Auxiliary Preference Learning Jaehyung Kim Jinwoo Shin Dongyeop Kang 19 2 0 08 Jun 2023
Optimal Transport Model Distributional Robustness Van-Anh Nguyen Trung Le Anh Tuan Bui Thanh-Toan Do Dinh Q. Phung OOD 36 3 0 07 Jun 2023
Text Style Transfer Back-Translation Daimeng Wei Zhanglin Wu Hengchao Shang Zongyao Li Minghan Wang Jiaxin Guo Xiaoyu Chen Zhengzhe Yu Hao Yang 16 6 0 02 Jun 2023
Perception and Semantic Aware Regularization for Sequential Confidence Calibration Zhenghua Peng Yuanmao Luo Tianshui Chen Keke Xu Shuangping Huang AI4TS 35 2 0 31 May 2023
BadLabel: A Robust Perspective on Evaluating and Enhancing Label-noise Learning Jingfeng Zhang Bo Song Haohan Wang Bo Han Tongliang Liu Lei Liu Masashi Sugiyama AAML NoLa 39 14 0 28 May 2023
Finding the Pillars of Strength for Multi-Head Attention Jinjie Ni Rui Mao Zonglin Yang Han Lei Min Zhang 23 5 0 22 May 2023
DisCo: Distilled Student Models Co-training for Semi-supervised Text Mining Weifeng Jiang Qianren Mao Chenghua Lin Jianxin Li Ting Deng Weiyi Yang Ziyi Wang 18 2 0 20 May 2023
Sharpness & Shift-Aware Self-Supervised Learning Ngoc N. Tran S. Duong Hoang Phan Tung Pham Dinh Q. Phung Trung Le SSL 48 1 0 17 May 2023
GeNAS: Neural Architecture Search with Better Generalization Joonhyun Jeong Joonsang Yu Geondo Park Dongyoon Han Y. Yoo 30 4 0 15 May 2023
Label Smoothing is Robustification against Model Misspecification Ryoya Yamasaki Toshiyuki Tanaka 14 0 0 15 May 2023
A Survey on the Robustness of Computer Vision Models against Common Corruptions Shunxin Wang Raymond N. J. Veldhuis Christoph Brune N. Strisciuglio OOD VLM 37 12 0 10 May 2023
LABO: Towards Learning Optimal Label Regularization via Bi-level Optimization Peng Lu Ahmad Rashid I. Kobyzev Mehdi Rezagholizadeh Philippe Langlais 13 0 0 08 May 2023
Instance-Variant Loss with Gaussian RBF Kernel for 3D Cross-modal Retriveal Zhitao Liu Zengyu Liu Jiwei Wei Guan Wang Zhenjiang Du Ning Xie H. Shen 34 2 0 07 May 2023
Learning Sample Difficulty from Pre-trained Models for Reliable Prediction Peng Cui Dan Zhang Zhijie Deng Yinpeng Dong Junyi Zhu 29 12 0 20 Apr 2023