Papers citing 'Large Margin Deep Networks for Classification'

Title
Adaptive Prototypical Networks with Label Words and Joint Representation Learning for Few-Shot Relation ClassificationIEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2021 Yan Xiao Yaochu Jin K. Hao 160 56 0 10 Jan 2021
Spatial Contrastive Learning for Few-Shot Classification Yassine Ouali C´eline Hudelot Myriam Tami 123 58 0 26 Dec 2020
Using noise resilience for ranking generalization of deep neural networks Depen Morwani Rahul Vashisht H. G. Ramaswamy AI4CE 106 1 0 16 Dec 2020
NeurIPS 2020 Competition: Predicting Generalization in Deep Learning Yiding Jiang Pierre Foret Scott Yak Daniel M. Roy H. Mobahi Gintare Karolina Dziugaite Samy Bengio Suriya Gunasekar Isabelle M Guyon Behnam Neyshabur Google Research OOD 194 56 0 14 Dec 2020
Improving Adversarial Robustness via Probabilistically Compact Loss with Logit ConstraintsAAAI Conference on Artificial Intelligence (AAAI), 2020 X. Li Xiangrui Li Deng Pan D. Zhu AAML 192 17 0 14 Dec 2020
Contrastive Learning for Label-Efficient Semantic SegmentationIEEE International Conference on Computer Vision (ICCV), 2020 Xiangyu Zhao Raviteja Vemulapalli Philip Mansfield Boqing Gong Bradley Green Lior Shapira Ying Nian Wu SSL SSeg 527 196 0 13 Dec 2020
Representation Based Complexity Measures for Predicting Generalization in Deep Learning Parth Natekar Manik Sharma 126 37 0 04 Dec 2020
Ranking Neural CheckpointsComputer Vision and Pattern Recognition (CVPR), 2020 Yandong Li Xuhui Jia Ruoxin Sang Yukun Zhu Bradley Green Liqiang Wang Boqing Gong FedML ELM UQCV 379 59 0 23 Nov 2020
Extreme Value Preserving Networks Mingjie Sun Jianguo Li Changshui Zhang AAML MDE 113 0 0 17 Nov 2020
Supervised Contrastive Learning for Pre-trained Language Model Fine-tuningInternational Conference on Learning Representations (ICLR), 2020 Beliz Gunel Jingfei Du Alexis Conneau Ves Stoyanov 357 565 0 03 Nov 2020
Are Adversarial Examples Created Equal? A Learnable Weighted Minimax Risk for Robustness under Non-uniform AttacksAAAI Conference on Artificial Intelligence (AAAI), 2020 Huimin Zeng Chen Zhu Tom Goldstein Furong Huang AAML 142 20 0 24 Oct 2020
FaiR-N: Fair and Robust Neural Networks for Structured Data Sanjay Kariyappa Alan H. Gee D. Paydarfar Joydeep Ghosh 242 20 0 13 Oct 2020
Addressing Class Imbalance in Scene Graph Parsing by Learning to Contrast and Score He Huang Shunta Saito Yuta Kikuchi Eiichi Matsumoto Wei Tang Philip S. Yu 168 5 0 28 Sep 2020
Margin-Based Regularization and Selective Sampling in Deep Neural Networks Berry Weinstein Shai Fine Y. Hel-Or MQ 110 2 0 13 Sep 2020
$Curriculum learning for improved femur fracture classification: scheduling data with prior knowledge and uncertainty$ Curriculum learning for improved femur fracture classification: scheduling data with prior knowledge and uncertainty Amelia Jiménez-Sánchez Diana Mateus S. Kirchhoff C. Kirchhoff P. Biberthaler Nassir Navab M. A. G. Ballester Gemma Piella 108 22 0 31 Jul 2020
Boundary thickness and robustness in learning modelsNeural Information Processing Systems (NeurIPS), 2020 Yaoqing Yang Rekha Khanna Yaodong Yu A. Gholami Kurt Keutzer Joseph E. Gonzalez Kannan Ramchandran Michael W. Mahoney OOD 191 47 0 09 Jul 2020
A general framework for defining and optimizing robustness Alessandro Tibo M. Jaeger Kim G. Larsen 91 0 0 19 Jun 2020
Learning Diverse and Discriminative Representations via the Principle of Maximal Coding Rate Reduction Yaodong Yu Kwan Ho Ryan Chan Chong You Chaobing Song Yi-An Ma SSL 205 226 0 15 Jun 2020
Towards Certified Robustness of Distance Metric Learning Xiaochen Yang Yiwen Guo Mingzhi Dong Jing-Hao Xue OOD 161 0 0 10 Jun 2020
Investigation of Large-Margin Softmax in Neural Language Modeling Jingjing Huo Yingbo Gao Weiyue Wang Ralf Schluter Hermann Ney CVBM 86 0 0 20 May 2020
Supervised Contrastive Learning Prannay Khosla Piotr Teterwak Chen Wang Aaron Sarna Yonglong Tian Phillip Isola Aaron Maschinot Ce Liu Dilip Krishnan SSL 818 5,457 0 23 Apr 2020
Learn2Perturb: an End-to-end Feature Perturbation Learning to Improve Adversarial RobustnessComputer Vision and Pattern Recognition (CVPR), 2020 Ahmadreza Jeddi M. Shafiee Michelle Karg C. Scharfenberger A. Wong OOD AAML 333 72 0 02 Mar 2020
Predicting Neural Network Accuracy from Weights Thomas Unterthiner Daniel Keysers Sylvain Gelly Olivier Bousquet Ilya O. Tolstikhin 436 120 0 26 Feb 2020
Using Wavelets to Analyze Similarities in Image-Classification Datasets Roozbeh Yousefzadeh 90 0 0 24 Feb 2020
Boosting Adversarial Training with Hypersphere EmbeddingNeural Information Processing Systems (NeurIPS), 2020 Tianyu Pang Xiao Yang Yinpeng Dong Kun Xu Jun Zhu Hang Su AAML 316 161 0 20 Feb 2020
Regularized Training and Tight Certification for Randomized Smoothed Classifier with Provable RobustnessAAAI Conference on Artificial Intelligence (AAAI), 2020 Huijie Feng Chunpeng Wu Guoyang Chen Weifeng Zhang Y. Ning AAML 115 12 0 17 Feb 2020
Hold me tight! Influence of discriminative features on deep network boundariesNeural Information Processing Systems (NeurIPS), 2020 Guillermo Ortiz-Jiménez Apostolos Modas Seyed-Mohsen Moosavi-Dezfooli P. Frossard AAML 189 51 0 15 Feb 2020
GIM: Gaussian Isolation Machines Guy Amit Ishai Rosenberg Mosh Levy Ron Bitton A. Shabtai Yuval Elovici 104 0 0 06 Feb 2020
Identifying Mislabeled Data using the Area Under the Margin RankingNeural Information Processing Systems (NeurIPS), 2020 Geoff Pleiss Tianyi Zhang Ethan R. Elenberg Kilian Q. Weinberger NoLa 548 332 0 28 Jan 2020
Auditing and Debugging Deep Learning Models via Decision Boundaries: Individual-level and Group-level Analysis Roozbeh Yousefzadeh D. O’Leary AAML FAtt 114 5 0 03 Jan 2020
Potential adversarial samples for white-box attacks Amir Nazemi Paul Fieguth AAML 91 20 0 13 Dec 2019
Fantastic Generalization Measures and Where to Find ThemInternational Conference on Learning Representations (ICLR), 2019 Yiding Jiang Behnam Neyshabur H. Mobahi Dilip Krishnan Samy Bengio AI4CE 377 666 0 04 Dec 2019
Decision Propagation Networks for Image Classification Keke Tang Peng Song Yuexin Ma Zhaoquan Gu Yu Su Zhihong Tian Wenping Wang 68 0 0 27 Nov 2019
Information-Theoretic Local Minima Characterization and RegularizationInternational Conference on Machine Learning (ICML), 2019 Zhiwei Jia Hao Su 210 20 0 19 Nov 2019
Adversarial Margin Maximization NetworksIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2019 Ziang Yan Yiwen Guo Changshui Zhang AAML 89 13 0 14 Nov 2019
MadNet: Using a MAD Optimization for Defending Against Adversarial Attacks Shai Rozenberg G. Elidan Ran El-Yaniv AAML 104 1 0 03 Nov 2019
Gradient penalty from a maximum margin perspective Alexia Jolicoeur-Martineau Alexia Jolicoeur-Martineau GAN 206 12 0 15 Oct 2019
Improved Sample Complexities for Deep Networks and Robust Classification via an All-Layer MarginInternational Conference on Learning Representations (ICLR), 2019 Colin Wei Tengyu Ma AAML OOD 470 88 0 09 Oct 2019
Training Robust Deep Neural Networks via Adversarial Noise PropagationIEEE Transactions on Image Processing (TIP), 2019 Aishan Liu Xianglong Liu Chongzhi Zhang Hang Yu Qiang Liu Dacheng Tao AAML 106 132 0 19 Sep 2019
Feedback Learning for Improving the Robustness of Neural NetworksInternational Conference on Machine Learning and Applications (ICMLA), 2019 Chang Song Zuoguan Wang Xue Yang AAML 93 8 0 12 Sep 2019
DAPAS : Denoising Autoencoder to Prevent Adversarial attack in Semantic SegmentationIEEE International Joint Conference on Neural Network (IJCNN), 2019 Yujin Yang Tae Joon Jun Byungsoo Oh Daeyoung Kim 253 32 0 14 Aug 2019
Investigating Decision Boundaries of Trained Neural Networks Roozbeh Yousefzadeh D. O’Leary AAML 96 23 0 07 Aug 2019
Adaptive Noise Injection: A Structure-Expanding Regularization for RNN Rui Li Kai Shuang Mengyu Gu Sen Su 104 0 0 25 Jul 2019
Towards Robust, Locally Linear Deep NetworksInternational Conference on Learning Representations (ICLR), 2019 Guang-He Lee David Alvarez-Melis Tommi Jaakkola ODL 186 48 0 07 Jul 2019
On Symmetry and Initialization for Neural NetworksLatin American Symposium on Theoretical Informatics (LATIN), 2019 Ido Nachum Amir Yehudayoff MLT 102 6 0 01 Jul 2019
Deep Gamblers: Learning to Abstain with Portfolio TheoryNeural Information Processing Systems (NeurIPS), 2019 Liu Ziyin Zhikang T. Wang Paul Pu Liang Ruslan Salakhutdinov Louis-Philippe Morency Masahito Ueda 256 123 0 29 Jun 2019
Improving Neural Language Modeling via Adversarial TrainingInternational Conference on Machine Learning (ICML), 2019 Dilin Wang Chengyue Gong Qiang Liu AAML 242 122 0 10 Jun 2019
Towards Task and Architecture-Independent Generalization Gap Predictors Scott Yak J. Gonzalvo Hanna Mazzawi UQCV AI4CE 155 27 0 04 Jun 2019
Controlling Neural Level SetsNeural Information Processing Systems (NeurIPS), 2019 Matan Atzmon Niv Haim Lior Yariv Ofer Israelov Haggai Maron Y. Lipman AI4CE 135 129 0 28 May 2019
Abstraction Mechanisms Predict Generalization in Deep Neural NetworksInternational Conference on Machine Learning (ICML), 2019 Alex Gain H. Siegelmann AI4CE 196 6 0 27 May 2019