Papers citing 'Large Margin Deep Networks for Classification'

Title
FedAU2: Attribute Unlearning for User-Level Federated Recommender Systems with Adaptive and Robust Adversarial Training Yuyuan Li Junjie Fang Fengyuan Yu Xichun Sheng Tianyu Du Xuyang Teng Shaowei Jiang Linbo Jiang Jianan Lin Chaochao Chen MU 231 0 0 28 Nov 2025
Volatility in Certainty (VC): A Metric for Detecting Adversarial Perturbations During Inference in Neural Network Classifiers Vahid Hemmati Ahmad Mohammadi Abdul-Rauf Nuhu Reza Ahmari Parham Kebria A. Homaifar AAML 80 0 0 14 Nov 2025
Mitigating Negative Flips via Margin Preserving Training Simone Ricci Niccoló Biondi F. Pernici Alberto Del Bimbo VLM 136 0 0 11 Nov 2025
PENEX: AdaBoost-Inspired Neural Network Regularization Klaus-Rudolf Kladny Bernhard Schölkopf Michael Muehlebach ODL 287 0 0 02 Oct 2025
Does simple trump complex? Comparing strategies for adversarial robustness in DNNs William Brooks Marelie Hattingh Davel Coenraad Mouton AAML 48 0 0 25 Aug 2025
Zero-Shot Skeleton-Based Action Recognition With Prototype-Guided Feature AlignmentIEEE Transactions on Image Processing (IEEE TIP), 2025 Kai Zhou Shuhai Zhang Zeng You Jinwu Hu Mingkui Tan Fei Liu 203 0 0 01 Jul 2025
SoftStep: Learning Sparse Similarity Powers Deep Neighbor-Based Regression Aviad Susman Mayte Suárez-Fariñas Joseph T Colonel Joseph T Colonel 142 0 0 09 Jun 2025
Learning Structured Representations with Hyperbolic EmbeddingsNeural Information Processing Systems (NeurIPS), 2024 Aditya Sinha Siqi Zeng M. Yamada Han Zhao 335 7 0 02 Dec 2024
Towards Bridging Generalization and Expressivity of Graph Neural NetworksInternational Conference on Learning Representations (ICLR), 2024 Shouheng Li Floris Geerts Dongwoo Kim Qing Wang 257 8 0 14 Oct 2024
SFTMix: Elevating Language Model Instruction Tuning with Mixup Recipe Yuxin Xiao Shujian Zhang Wenxuan Zhou Marzyeh Ghassemi Sanqiang Zhao 956 1 0 07 Oct 2024
Towards Robust Few-shot Class Incremental Learning in Audio Classification using Contrastive RepresentationInterspeech (Interspeech), 2024 Riyansha Singh Parinita Nema V. Kurmi CLL 330 2 0 27 Jul 2024
Learning Confidence Bounds for Classification with Imbalanced DataEuropean Conference on Artificial Intelligence (ECAI), 2024 Matt Clifford Jonathan Erskine Alexander Hepburn Raúl Santos-Rodríguez Dario Garcia-Garcia 291 0 0 16 Jul 2024
Detecting Brittle Decisions for Free: Leveraging Margin Consistency in Deep Robust Classifiers Jonas Ngnawé Sabyasachi Sahoo Y. Pequignot Frédéric Precioso Christian Gagné AAML 297 3 0 26 Jun 2024
On Dissipativity of Cross-Entropy Loss in Training ResNets Jens Püttschneider T. Faulwasser 230 1 0 29 May 2024
Training More Robust Classification Model via Discriminative Loss and Gaussian Noise Injection Hai-Vy Nguyen Fabrice Gamboa Sixin Zhang Reda Chhaibi Serge Gratton Thierry Giaccone 263 0 0 28 May 2024
Relevant Irrelevance: Generating Alterfactual Explanations for Image Classifiers Silvan Mertes Tobias Huber Christina Karle Katharina Weitz Ruben Schlagowski Cristina Conati Elisabeth André 243 1 0 08 May 2024
Towards noise contrastive estimation with soft targets for conditional models J. Hugger Virginie Uhlmann UQCV 230 2 0 22 Apr 2024
CLCE: An Approach to Refining Cross-Entropy and Contrastive Learning for Optimized Learning Fusion Zijun Long George Killick Lipeng Zhuang Gerardo Aragon Camarasa Zaiqiao Meng R. McCreadie VLM 213 7 0 22 Feb 2024
Detecting Adversarial Spectrum Attacks via Distance to Decision Boundary Statistics Wenwei Zhao Xiaowen Li Shangqing Zhao Jie Xu Yao-Hong Liu Zhuo Lu AAML 137 1 0 14 Feb 2024
FedImpro: Measuring and Improving Client Update in Federated LearningInternational Conference on Learning Representations (ICLR), 2024 Zhenheng Tang Yonggang Zhang Shaoshuai Shi Xinmei Tian Tongliang Liu Bo Han Xiaowen Chu FedML 248 21 0 10 Feb 2024
Adaptive Hypergraph Network for Trust Prediction Rongwei Xu Guanfeng Liu Yan Wang Xuyun Zhang Kai Zheng Xiaofang Zhou 180 3 0 07 Feb 2024
Marginal Debiased Network for Fair Visual RecognitionPattern Recognition (Pattern Recogn.), 2024 Mei Wang Weihong Deng Sen Su 248 1 0 04 Jan 2024
An extended asymmetric sigmoid with Perceptron (SIGTRON) for imbalanced linear classification Hyenkyun Woo 301 0 0 26 Dec 2023
TK-KNN: A Balanced Distance-Based Pseudo Labeling Approach for Semi-Supervised Intent ClassificationConference on Empirical Methods in Natural Language Processing (EMNLP), 2023 Nicholas Botzer David Vasquez Tim Weninger I. Laradji 169 1 0 17 Oct 2023
A simple connection from loss flatness to compressed neural representations Shirui Chen Stefano Recanatesi E. Shea-Brown 257 0 0 03 Oct 2023
Certified Robustness via Dynamic Margin Maximization and Improved Lipschitz RegularizationNeural Information Processing Systems (NeurIPS), 2023 Mahyar Fazlyab Taha Entesari Aniket Roy Ramalingam Chellappa AAML 600 19 0 29 Sep 2023
Certified Robust Models with Slack Control and Large Lipschitz Constants M. Losch David Stutz Bernt Schiele Mario Fritz 166 4 0 12 Sep 2023
DoRA: Domain-Based Self-Supervised Learning Framework for Low-Resource Real Estate AppraisalInternational Conference on Information and Knowledge Management (CIKM), 2023 Wei-Wei Du Wei-Yao Wang Wenjie Peng 169 5 0 02 Sep 2023
Input margins can predict generalization tooAAAI Conference on Artificial Intelligence (AAAI), 2023 Coenraad Mouton Marthinus W. Theunissen Marelie Hattingh Davel AAML UQCV AI4CE 171 5 0 29 Aug 2023
When hard negative sampling meets supervised contrastive learning Zijun Long George Killick R. McCreadie Gerardo Aragon Camarasa Zaiqiao Meng SSL 164 5 0 28 Aug 2023
MarginMatch: Improving Semi-Supervised Learning with Pseudo-MarginsComputer Vision and Pattern Recognition (CVPR), 2023 Tiberiu Sosea Cornelia Caragea 182 18 0 17 Aug 2023
Reverse Engineering Self-Supervised LearningNeural Information Processing Systems (NeurIPS), 2023 Ido Ben-Shaul Ravid Shwartz-Ziv Tomer Galanti S. Dekel Yann LeCun SSL 207 43 0 24 May 2023
Tuned Contrastive LearningIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2023 Chaitanya Animesh Manmohan Chandraker SSL 139 3 0 18 May 2023
Learning to Detect Novel and Fine-Grained Acoustic Sequences Using Pretrained Audio RepresentationsIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2023 Vasudha Kowtha Miquel Espi Marques Jonathan Huang Yichi Zhang C. Avendaño AI4TS 164 0 0 03 May 2023
A Forward and Backward Compatible Framework for Few-shot Class-incremental Pill RecognitionIEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2023 Jinghua Zhang Tianpeng Liu Kai Gao Dewen Hu CLL MedIm 260 5 0 24 Apr 2023
Learning with Fantasy: Semantic-Aware Virtual Contrastive Constraint for Few-Shot Class-Incremental LearningComputer Vision and Pattern Recognition (CVPR), 2023 Zeyin Song Yifan Zhao Yujun Shi Peixi Peng Liuliang Yuan Yonghong Tian CLL 208 98 0 02 Apr 2023
A Challenging Benchmark for Low-Resource Learning Yudong Wang Chang Ma Qingxiu Dong Lingpeng Kong Jingjing Xu 145 9 0 07 Mar 2023
Stationary Point Losses for Robust Model Weiwei Gao Dazhi Zhang Yao Li Zhichang Guo Ovanes Petrosian OOD 169 0 0 19 Feb 2023
The Missing Margin: How Sample Corruption Affects Distance to the Boundary in ANNs Marthinus W. Theunissen Coenraad Mouton Marelie Hattingh Davel 121 1 0 14 Feb 2023
Learning to Select Pivotal Samples for Meta Re-weightingAAAI Conference on Artificial Intelligence (AAAI), 2023 Yinjun Wu Adam Stein Jacob R. Gardner Mayur Naik 159 2 0 09 Feb 2023
Cut your Losses with SquentropyInternational Conference on Machine Learning (ICML), 2023 Like Hui M. Belkin S. Wright UQCV 124 8 0 08 Feb 2023
Exploring and Exploiting Decision Boundary Dynamics for Adversarial RobustnessInternational Conference on Learning Representations (ICLR), 2023 Yuancheng Xu Yanchao Sun Micah Goldblum Tom Goldstein Furong Huang AAML 288 47 0 06 Feb 2023
Understanding Difficulty-based Sample Weighting with a Universal Difficulty Measure Xiaoling Zhou Ou Wu Weiyao Zhu Ziyang Liang 154 7 0 12 Jan 2023
Unbiased Supervised Contrastive LearningInternational Conference on Learning Representations (ICLR), 2022 C. Barbano Benoit Dufumier Enzo Tartaglione Marco Grangetto Pietro Gori FaML SSL 184 43 0 10 Nov 2022
The Best of Both Worlds: a Framework for Combining Degradation Prediction with High Performance Super-Resolution NetworksItalian National Conference on Sensors (INS), 2022 Matthew Aquilina Keith George Ciantar Christian Galea K. Camilleri R. Farrugia J. Abela 157 0 0 09 Nov 2022
CRONOS: Colorization and Contrastive Learning for Device-Free NLoS Human Presence Detection using Wi-Fi CSIIEEE Internet of Things Journal (IEEE IoT J.), 2022 Li-Hsiang Shen Chia-Che Hsieh An-Hung Hsiao Kai-Ten Feng 129 5 0 07 Nov 2022
FIXED: Frustratingly Easy Domain Generalization with Mixup Wang Lu Yongfeng Zhang Han Yu Lei Huang Xiang Zhang Yiqiang Chen Xingxu Xie 243 12 0 07 Nov 2022
Probability-Dependent Gradient Decay in Large Margin Softmax Siyuan Zhang Linbo Xie Ying-Cong Chen 128 0 0 31 Oct 2022
Speaker Representation Learning via Contrastive Loss with Maximal Speaker SeparabilityAsia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC), 2022 Zhe Li Man-Wai Mak SSL 249 9 0 29 Oct 2022
LESS: Label-Efficient Semantic Segmentation for LiDAR Point CloudsEuropean Conference on Computer Vision (ECCV), 2022 Minghua Liu Yin Zhou C. Qi Boqing Gong Hao Su Drago Anguelov 3DPC 179 61 0 14 Oct 2022