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
An Analysis of Concept Bottleneck Models: Measuring, Understanding, and Mitigating the Impact of Noisy Annotations Seonghwan Park Jueun Mun Donghyun Oh Namhoon Lee 5 0 0 22 May 2025
Intra-class Patch Swap for Self-Distillation Hongjun Choi Eun Som Jeon Ankita Shukla Pavan Turaga 9 0 0 20 May 2025
Automated Identification of Logical Errors in Programs: Advancing Scalable Analysis of Student Misconceptions Muntasir Hoq Ananya Rao Reisha Jaishankar Krish Piryani Nithya Janapati Jessica Vandenberg Bradford Mott Narges Norouzi James Lester Bita Akram 14 0 0 16 May 2025
Multimodal Graph Representation Learning for Robust Surgical Workflow Recognition with Adversarial Feature Disentanglement Long Bai Boyi Ma Ruohan Wang Guankun Wang Beilei Cui ... Mobarakol Islam Zhe Min Jiewen Lai Nassir Navab Hongliang Ren 53 0 0 03 May 2025
Beyond One-Hot Labels: Semantic Mixing for Model Calibration Haoyang Luo Linwei Tao Minjing Dong Chang Xu 35 0 0 18 Apr 2025
Enhancing Out-of-Distribution Detection with Extended Logit Normalization Yifan Ding Xixi Liu Jonas Unger Gabriel Eilertsen OODD 36 0 0 15 Apr 2025
Confidence Regularized Masked Language Modeling using Text Length Seunghyun Ji Soowon Lee 39 0 0 08 Apr 2025
ATM-Net: Anatomy-Aware Text-Guided Multi-Modal Fusion for Fine-Grained Lumbar Spine Segmentation Sheng Lian Dengfeng Pan Jianlong Cai Guang-Yong Chen Zhun Zhong Zhiming Luo Shen Zhao Shuo Li 36 0 0 04 Apr 2025
We Care Each Pixel: Calibrating on Medical Segmentation Model Wenhao Liang W. Zhang Y. Lin Miao Xu Olaf Maennel Weitong Chen 53 0 0 07 Mar 2025
Embracing Diversity: A Multi-Perspective Approach with Soft Labels Benedetta Muscato Praveen Bushipaka Gizem Gezici Lucia Passaro F. Giannotti Tommaso Cucinotta 44 0 0 01 Mar 2025
Mitigating Hallucinations in Large Vision-Language Models by Adaptively Constraining Information Flow Jiaqi Bai Hongcheng Guo Zhongyuan Peng Jian Yang Zhiyu Li Mingze Li Zhihong Tian VLM 62 0 0 28 Feb 2025
Exploring the Impact of Temperature Scaling in Softmax for Classification and Adversarial Robustness Hao Xuan Bokai Yang Xingyu Li AAML 49 3 0 28 Feb 2025
ESANS: Effective and Semantic-Aware Negative Sampling for Large-Scale Retrieval Systems Haibo Xing Kanefumi Matsuyama Hao Deng Jinxin Hu Yu Zhang Xiaoyi Zeng 43 0 0 22 Feb 2025
Large Language Model Confidence Estimation via Black-Box Access Tejaswini Pedapati Amit Dhurandhar Soumya Ghosh Soham Dan P. Sattigeri 89 3 0 21 Feb 2025
MaxSup: Overcoming Representation Collapse in Label Smoothing Yuxuan Zhou Heng Li Zhi-Qi Cheng Xudong Yan Mario Fritz M. Keuper 41 0 0 18 Feb 2025
Interpretable Failure Detection with Human-Level Concepts Kien X. Nguyen Tang Li Xi Peng 53 0 0 07 Feb 2025
Addressing Label Shift in Distributed Learning via Entropy Regularization Zhiyuan Wu Changkyu Choi Xiangcheng Cao V. Cevher Ali Ramezani-Kebrya 87 0 0 04 Feb 2025
Technical report on label-informed logit redistribution for better domain generalization in low-shot classification with foundation models Behraj Khan T. Syed 225 1 0 29 Jan 2025
An Inclusive Theoretical Framework of Robust Supervised Contrastive Loss against Label Noise Jingyi Cui Yi-Ge Zhang Hengyu Liu Yisen Wang NoLa 58 0 0 03 Jan 2025
Structural Entropy Guided Probabilistic Coding Xiang Huang Hao Peng Li Sun Hui Lin Chunyang Liu Jiang Cao Philip S. Yu 84 0 0 12 Dec 2024
Lightweight Contenders: Navigating Semi-Supervised Text Mining through Peer Collaboration and Self Transcendence Qianren Mao Weifeng Jiang Qingbin Liu Chenghua Lin Qian Li Xianqing Wen Jianxin Li Jinhu Lu 72 0 0 01 Dec 2024
Exploring Aleatoric Uncertainty in Object Detection via Vision Foundation Models Peng Cui Guande He Dan Zhang Zhijie Deng Yinpeng Dong Jun Zhu 89 1 0 26 Nov 2024
A Review of Bayesian Uncertainty Quantification in Deep Probabilistic Image Segmentation M. Valiuddin R. V. Sloun C.G.A. Viviers Peter H. N. de With Fons van der Sommen UQCV 96 1 0 25 Nov 2024
Improving self-training under distribution shifts via anchored confidence with theoretical guarantees Taejong Joo Diego Klabjan UQCV 51 0 0 01 Nov 2024
A Monte Carlo Framework for Calibrated Uncertainty Estimation in Sequence Prediction Qidong Yang Weicheng Zhu Joseph Keslin L. Zanna Tim G. J. Rudner Carlos Fernandez-Granda BDL UQCV AI4TS 51 0 0 30 Oct 2024
Not All LLM-Generated Data Are Equal: Rethinking Data Weighting in Text Classification Hsun-Yu Kuo Yin-Hsiang Liao Yu-Chieh Chao Wei-Yun Ma Pu-Jen Cheng SyDa 56 3 0 28 Oct 2024
AERO: Softmax-Only LLMs for Efficient Private Inference N. Jha Brandon Reagen 37 1 0 16 Oct 2024
Feature Clipping for Uncertainty Calibration Linwei Tao Minjing Dong Chang Xu UQCV 28 2 0 16 Oct 2024
Defending Membership Inference Attacks via Privacy-aware Sparsity Tuning Qiang Hu Hengxiang Zhang Hongxin Wei 26 1 0 09 Oct 2024
Improving Generalization with Flat Hilbert Bayesian Inference Tuan Truong Quyen Tran Quan Pham-Ngoc Nhat Ho Dinh Q. Phung Trung Le 31 0 0 05 Oct 2024
Understanding and Mitigating Miscalibration in Prompt Tuning for Vision-Language Models Shuoyuan Wang Yixuan Li Hongxin Wei VLM 61 2 0 03 Oct 2024
Critic Loss for Image Classification B. Rappazzo Aaron Ferber Carla P. Gomes VLM 31 0 0 23 Sep 2024
NEVLP: Noise-Robust Framework for Efficient Vision-Language Pre-training Yiyi Tao Zhuoyue Wang Hang Zhang Lun Wang VLM 45 13 0 15 Sep 2024
EntAugment: Entropy-Driven Adaptive Data Augmentation Framework for Image Classification Suorong Yang Furao Shen Jian Zhao AAML 42 1 0 10 Sep 2024
Improving Uncertainty-Error Correspondence in Deep Bayesian Medical Image Segmentation P. Mody Nicolas F. Chaves-de-Plaza Chinmay Rao Eleftheria Astrenidou M. de Ridder N. Hoekstra Klaus Hildebrandt Marius Staring UQCV 27 0 0 05 Sep 2024
DNN-GDITD: Out-of-distribution detection via Deep Neural Network based Gaussian Descriptor for Imbalanced Tabular Data Priyanka Chudasama Anil Surisetty Aakarsh Malhotra Alok Singh 37 0 0 02 Sep 2024
Theoretical Proportion Label Perturbation for Learning from Label Proportions in Large Bags Shunsuke Kubo Shinnosuke Matsuo D. Suehiro Kazuhiro Terada Hiroaki Ito Akihiko Yoshizawa Ryoma Bise 24 0 0 26 Aug 2024
Animal Identification with Independent Foreground and Background Modeling Lukás Picek Lukás Neumann Jirí Matas VLM 43 2 0 23 Aug 2024
Distribution Learning for Molecular Regression Nima Shoghi Pooya Shoghi Anuroop Sriram Abhishek Das OOD 37 0 0 30 Jul 2024
Revisiting Machine Unlearning with Dimensional Alignment Seonguk Seo Dongwan Kim Bohyung Han MU 39 0 0 25 Jul 2024
Representation Magnitude has a Liability to Privacy Vulnerability Xingli Fang Jung-Eun Kim 32 1 0 23 Jul 2024
Robust Calibration of Large Vision-Language Adapters Balamurali Murugesan Julio Silva-Rodríguez Ismail Ben Ayed Jose Dolz OODD VLM 32 6 0 18 Jul 2024
On the Calibration of Epistemic Uncertainty: Principles, Paradoxes and Conflictual Loss Mohammed Fellaji Frédéric Pennerath Brieuc Conan-Guez Miguel Couceiro UQCV 51 1 0 16 Jul 2024
Decompose and Compare Consistency: Measuring VLMs' Answer Reliability via Task-Decomposition Consistency Comparison Qian Yang Weixiang Yan Aishwarya Agrawal CoGe 31 4 0 10 Jul 2024
Dynamic Correlation Learning and Regularization for Multi-Label Confidence Calibration Tianshui Chen Weihang Wang Tao Pu Jinghui Qin Zhijing Yang Jie Liu Liang Lin 29 6 0 09 Jul 2024
Are Data Augmentation Methods in Named Entity Recognition Applicable for Uncertainty Estimation? Wataru Hashimoto Hidetaka Kamigaito Taro Watanabe 34 1 0 02 Jul 2024
Efficient Nearest Neighbor based Uncertainty Estimation for Natural Language Processing Tasks Wataru Hashimoto Hidetaka Kamigaito Taro Watanabe 63 0 0 02 Jul 2024
On Calibration of Speech Classification Models: Insights from Energy-Based Model Investigations Yaqian Hao Chenguang Hu Yingying Gao Shilei Zhang Junlan Feng 37 1 0 26 Jun 2024
Label Smoothing Improves Machine Unlearning Zonglin Di Zhaowei Zhu Jinghan Jia Jiancheng Liu Zafar Takhirov Bo Jiang Yuanshun Yao Sijia Liu Yang Liu 45 2 0 11 Jun 2024
Representation Learning with Conditional Information Flow Maximization Dou Hu Lingwei Wei Wei Zhou Songlin Hu SSL 53 1 0 08 Jun 2024