Learning with Multiplicative Perturbations
![Responsive image](/icpr/media/video_thumbnails/10999.jpg)
Auto-TLDR; XAT and xVAT: A Multiplicative Adversarial Training Algorithm for Robust DNN Training
Similar papers
Local Clustering with Mean Teacher for Semi-Supervised Learning
Zexi Chen, Benjamin Dutton, Bharathkumar Ramachandra, Tianfu Wu, Ranga Raju Vatsavai
![Responsive image](/icpr/media/video_thumbnails/11622.jpg)
Auto-TLDR; Local Clustering for Semi-supervised Learning
Optimal Transport As a Defense against Adversarial Attacks
Quentin Bouniot, Romaric Audigier, Angélique Loesch
![Responsive image](/icpr/media/video_thumbnails/11471.jpg)
Auto-TLDR; Sinkhorn Adversarial Training with Optimal Transport Theory
Abstract Slides Poster Similar
Beyond Cross-Entropy: Learning Highly Separable Feature Distributions for Robust and Accurate Classification
Arslan Ali, Andrea Migliorati, Tiziano Bianchi, Enrico Magli
![Responsive image](/icpr/media/video_thumbnails/12057.jpg)
Auto-TLDR; Gaussian class-conditional simplex loss for adversarial robust multiclass classifiers
Abstract Slides Poster Similar
On-Manifold Adversarial Data Augmentation Improves Uncertainty Calibration
Kanil Patel, William Beluch, Dan Zhang, Michael Pfeiffer, Bin Yang
![Responsive image](/icpr/media/video_thumbnails/11848.jpg)
Auto-TLDR; On-Manifold Adversarial Data Augmentation for Uncertainty Estimation
Rethinking Deep Active Learning: Using Unlabeled Data at Model Training
Oriane Siméoni, Mateusz Budnik, Yannis Avrithis, Guillaume Gravier
![Responsive image](/icpr/media/video_thumbnails/10986.jpg)
Auto-TLDR; Unlabeled Data for Active Learning
Abstract Slides Poster Similar
Generative Latent Implicit Conditional Optimization When Learning from Small Sample
![Responsive image](/icpr/media/video_thumbnails/11915.jpg)
Auto-TLDR; GLICO: Generative Latent Implicit Conditional Optimization for Small Sample Learning
Abstract Slides Poster Similar
Adaptive Noise Injection for Training Stochastic Student Networks from Deterministic Teachers
Yi Xiang Marcus Tan, Yuval Elovici, Alexander Binder
![Responsive image](/icpr/media/video_thumbnails/11793.jpg)
Auto-TLDR; Adaptive Stochastic Networks for Adversarial Attacks
Variational Inference with Latent Space Quantization for Adversarial Resilience
Vinay Kyatham, Deepak Mishra, Prathosh A.P.
![Responsive image](/icpr/media/video_thumbnails/12041.jpg)
Auto-TLDR; A Generalized Defense Mechanism for Adversarial Attacks on Data Manifolds
Abstract Slides Poster Similar
Generalization Comparison of Deep Neural Networks Via Output Sensitivity
Mahsa Forouzesh, Farnood Salehi, Patrick Thiran
![Responsive image](/icpr/media/video_thumbnails/11769.jpg)
Auto-TLDR; Generalization of Deep Neural Networks using Sensitivity
Accuracy-Perturbation Curves for Evaluation of Adversarial Attack and Defence Methods
![Responsive image](/icpr/media/video_thumbnails/11627.jpg)
Auto-TLDR; Accuracy-perturbation Curve for Robustness Evaluation of Adversarial Examples
Abstract Slides Poster Similar
Separation of Aleatoric and Epistemic Uncertainty in Deterministic Deep Neural Networks
Denis Huseljic, Bernhard Sick, Marek Herde, Daniel Kottke
![Responsive image](/icpr/media/video_thumbnails/11987.jpg)
Auto-TLDR; AE-DNN: Modeling Uncertainty in Deep Neural Networks
Abstract Slides Poster Similar
Adversarially Constrained Interpolation for Unsupervised Domain Adaptation
Mohamed Azzam, Aurele Tohokantche Gnanha, Hau-San Wong, Si Wu
![Responsive image](/icpr/media/video_thumbnails/11133.jpg)
Auto-TLDR; Unsupervised Domain Adaptation with Domain Mixup Strategy
Abstract Slides Poster Similar
Boundary Optimised Samples Training for Detecting Out-Of-Distribution Images
Luca Marson, Vladimir Li, Atsuto Maki
![Responsive image](/icpr/media/video_thumbnails/12155.jpg)
Auto-TLDR; Boundary Optimised Samples for Out-of-Distribution Input Detection in Deep Convolutional Networks
Abstract Slides Poster Similar
Polynomial Universal Adversarial Perturbations for Person Re-Identification
Wenjie Ding, Xing Wei, Rongrong Ji, Xiaopeng Hong, Yihong Gong
![Responsive image](/icpr/media/video_thumbnails/10976.jpg)
Auto-TLDR; Polynomial Universal Adversarial Perturbation for Re-identification Methods
Abstract Slides Poster Similar
Adversarially Training for Audio Classifiers
Raymel Alfonso Sallo, Mohammad Esmaeilpour, Patrick Cardinal
![Responsive image](/icpr/media/video_thumbnails/12038.jpg)
Auto-TLDR; Adversarially Training for Robust Neural Networks against Adversarial Attacks
Abstract Slides Poster Similar
Attack Agnostic Adversarial Defense via Visual Imperceptible Bound
Saheb Chhabra, Akshay Agarwal, Richa Singh, Mayank Vatsa
![Responsive image](/icpr/media/video_thumbnails/11504.jpg)
Auto-TLDR; Robust Adversarial Defense with Visual Imperceptible Bound
Abstract Slides Poster Similar
Enlarging Discriminative Power by Adding an Extra Class in Unsupervised Domain Adaptation
Hai Tran, Sumyeong Ahn, Taeyoung Lee, Yung Yi
![Responsive image](/icpr/media/video_thumbnails/11063.jpg)
Auto-TLDR; Unsupervised Domain Adaptation using Artificial Classes
Abstract Slides Poster Similar
RNN Training along Locally Optimal Trajectories via Frank-Wolfe Algorithm
Yun Yue, Ming Li, Venkatesh Saligrama, Ziming Zhang
![Responsive image](/icpr/media/video_thumbnails/12161.jpg)
Auto-TLDR; Frank-Wolfe Algorithm for Efficient Training of RNNs
Abstract Slides Poster Similar
On Resource-Efficient Bayesian Network Classifiers and Deep Neural Networks
Wolfgang Roth, Günther Schindler, Holger Fröning, Franz Pernkopf
![Responsive image](/icpr/media/video_thumbnails/12131.jpg)
Auto-TLDR; Quantization-Aware Bayesian Network Classifiers for Small-Scale Scenarios
Abstract Slides Poster Similar
Verifying the Causes of Adversarial Examples
Honglin Li, Yifei Fan, Frieder Ganz, Tony Yezzi, Payam Barnaghi
![Responsive image](/icpr/media/video_thumbnails/11687.jpg)
Auto-TLDR; Exploring the Causes of Adversarial Examples in Neural Networks
Abstract Slides Poster Similar
Towards Robust Learning with Different Label Noise Distributions
Diego Ortego, Eric Arazo, Paul Albert, Noel E O'Connor, Kevin Mcguinness
![Responsive image](/icpr/media/video_thumbnails/11721.jpg)
Auto-TLDR; Distribution Robust Pseudo-Labeling with Semi-supervised Learning
Is the Meta-Learning Idea Able to Improve the Generalization of Deep Neural Networks on the Standard Supervised Learning?
![Responsive image](/icpr/media/video_thumbnails/10847.jpg)
Auto-TLDR; Meta-learning Based Training of Deep Neural Networks for Few-Shot Learning
Abstract Slides Poster Similar
Revisiting ImprovedGAN with Metric Learning for Semi-Supervised Learning
Jaewoo Park, Yoon Gyo Jung, Andrew Teoh
![Responsive image](/icpr/media/video_thumbnails/11016.jpg)
Auto-TLDR; Improving ImprovedGAN with Metric Learning for Semi-supervised Learning
Abstract Slides Poster Similar
Norm Loss: An Efficient yet Effective Regularization Method for Deep Neural Networks
Theodoros Georgiou, Sebastian Schmitt, Thomas Baeck, Wei Chen, Michael Lew
![Responsive image](/icpr/media/video_thumbnails/11942.jpg)
Auto-TLDR; Weight Soft-Regularization with Oblique Manifold for Convolutional Neural Network Training
Abstract Slides Poster Similar
A Close Look at Deep Learning with Small Data
![Responsive image](/icpr/media/video_thumbnails/11148.jpg)
Auto-TLDR; Low-Complex Neural Networks for Small Data Conditions
Abstract Slides Poster Similar
Defense Mechanism against Adversarial Attacks Using Density-Based Representation of Images
Yen-Ting Huang, Wen-Hung Liao, Chen-Wei Huang
![Responsive image](/icpr/media/video_thumbnails/11274.jpg)
Auto-TLDR; Adversarial Attacks Reduction Using Input Recharacterization
Abstract Slides Poster Similar
F-Mixup: Attack CNNs from Fourier Perspective
Xiu-Chuan Li, Xu-Yao Zhang, Fei Yin, Cheng-Lin Liu
![Responsive image](/icpr/media/video_thumbnails/10900.jpg)
Auto-TLDR; F-Mixup: A novel black-box attack in frequency domain for deep neural networks
Abstract Slides Poster Similar
A Delayed Elastic-Net Approach for Performing Adversarial Attacks
Brais Cancela, Veronica Bolon-Canedo, Amparo Alonso-Betanzos
![Responsive image](/icpr/media/video_thumbnails/10878.jpg)
Auto-TLDR; Robustness of ImageNet Pretrained Models against Adversarial Attacks
Abstract Slides Poster Similar
Generative Deep-Neural-Network Mixture Modeling with Semi-Supervised MinMax+EM Learning
![Responsive image](/icpr/media/video_thumbnails/11550.jpg)
Auto-TLDR; Semi-supervised Deep Neural Networks for Generative Mixture Modeling and Clustering
Abstract Slides Poster Similar
Multi-Modal Deep Clustering: Unsupervised Partitioning of Images
![Responsive image](/icpr/media/video_thumbnails/11431.jpg)
Auto-TLDR; Multi-Modal Deep Clustering for Unlabeled Images
Abstract Slides Poster Similar
Rethinking Experience Replay: A Bag of Tricks for Continual Learning
Pietro Buzzega, Matteo Boschini, Angelo Porrello, Simone Calderara
![Responsive image](/icpr/media/video_thumbnails/11110.jpg)
Auto-TLDR; Experience Replay for Continual Learning: A Practical Approach
Abstract Slides Poster Similar
Towards Explaining Adversarial Examples Phenomenon in Artificial Neural Networks
Ramin Barati, Reza Safabakhsh, Mohammad Rahmati
![Responsive image](/icpr/media/video_thumbnails/11723.jpg)
Auto-TLDR; Convolutional Neural Networks and Adversarial Training from the Perspective of convergence
Abstract Slides Poster Similar
Learning Sparse Deep Neural Networks Using Efficient Structured Projections on Convex Constraints for Green AI
Michel Barlaud, Frederic Guyard
![Responsive image](/icpr/media/thumbnails/0577_FI.pdf.jpg)
Auto-TLDR; Constrained Deep Neural Network with Constrained Splitting Projection
Abstract Slides Poster Similar
MaxDropout: Deep Neural Network Regularization Based on Maximum Output Values
Claudio Filipi Gonçalves Santos, Danilo Colombo, Mateus Roder, Joao Paulo Papa
![Responsive image](/icpr/media/video_thumbnails/11171.jpg)
Auto-TLDR; MaxDropout: A Regularizer for Deep Neural Networks
Abstract Slides Poster Similar
Killing Four Birds with One Gaussian Process: The Relation between Different Test-Time Attacks
Kathrin Grosse, Michael Thomas Smith, Michael Backes
![Responsive image](/icpr/media/video_thumbnails/11427.jpg)
Auto-TLDR; Security of Gaussian Process Classifiers against Attack Algorithms
Abstract Slides Poster Similar
MetaMix: Improved Meta-Learning with Interpolation-based Consistency Regularization
Yangbin Chen, Yun Ma, Tom Ko, Jianping Wang, Qing Li
![Responsive image](/icpr/media/video_thumbnails/10882.jpg)
Auto-TLDR; MetaMix: A Meta-Agnostic Meta-Learning Algorithm for Few-Shot Classification
Abstract Slides Poster Similar
Image Representation Learning by Transformation Regression
Xifeng Guo, Jiyuan Liu, Sihang Zhou, En Zhu, Shihao Dong
![Responsive image](/icpr/media/video_thumbnails/10898.jpg)
Auto-TLDR; Self-supervised Image Representation Learning using Continuous Parameter Prediction
Abstract Slides Poster Similar
An Efficient Empirical Solver for Localized Multiple Kernel Learning Via DNNs
![Responsive image](/icpr/media/video_thumbnails/10913.jpg)
Auto-TLDR; Localized Multiple Kernel Learning using LMKL-Net
Abstract Slides Poster Similar
Variational Deep Embedding Clustering by Augmented Mutual Information Maximization
Qiang Ji, Yanfeng Sun, Yongli Hu, Baocai Yin
![Responsive image](/icpr/media/video_thumbnails/11112.jpg)
Auto-TLDR; Clustering by Augmented Mutual Information maximization for Deep Embedding
Abstract Slides Poster Similar
P-DIFF: Learning Classifier with Noisy Labels Based on Probability Difference Distributions
Wei Hu, Qihao Zhao, Yangyu Huang, Fan Zhang
![Responsive image](/icpr/media/video_thumbnails/11072.jpg)
Auto-TLDR; P-DIFF: A Simple and Effective Training Paradigm for Deep Neural Network Classifier with Noisy Labels
Abstract Slides Poster Similar
Semi-Supervised Generative Adversarial Networks with a Pair of Complementary Generators for Retinopathy Screening
Yingpeng Xie, Qiwei Wan, Hai Xie, En-Leng Tan, Yanwu Xu, Baiying Lei
![Responsive image](/icpr/media/video_thumbnails/11443.jpg)
Auto-TLDR; Generative Adversarial Networks for Retinopathy Diagnosis via Fundus Images
Abstract Slides Poster Similar
Attack-Agnostic Adversarial Detection on Medical Data Using Explainable Machine Learning
Matthew Watson, Noura Al Moubayed
![Responsive image](/icpr/media/video_thumbnails/11867.jpg)
Auto-TLDR; Explainability-based Detection of Adversarial Samples on EHR and Chest X-Ray Data
Abstract Slides Poster Similar
Meta Soft Label Generation for Noisy Labels
![Responsive image](/icpr/media/video_thumbnails/11736.jpg)
Auto-TLDR; MSLG: Meta-Learning for Noisy Label Generation
Abstract Slides Poster Similar
Removing Backdoor-Based Watermarks in Neural Networks with Limited Data
Xuankai Liu, Fengting Li, Bihan Wen, Qi Li
![Responsive image](/icpr/media/video_thumbnails/12113.jpg)
Auto-TLDR; WILD: A backdoor-based watermark removal framework using limited data
Abstract Slides Poster Similar
Semi-Supervised Class Incremental Learning
Alexis Lechat, Stéphane Herbin, Frederic Jurie
![Responsive image](/icpr/media/video_thumbnails/12142.jpg)
Auto-TLDR; incremental class learning with non-annotated batches
Abstract Slides Poster Similar
Adversarial Encoder-Multi-Task-Decoder for Multi-Stage Processes
Andre Mendes, Julian Togelius, Leandro Dos Santos Coelho
![Responsive image](/icpr/media/thumbnails/0389_FI.pdf.jpg)
Auto-TLDR; Multi-Task Learning and Semi-Supervised Learning for Multi-Stage Processes
Combining Similarity and Adversarial Learning to Generate Visual Explanation: Application to Medical Image Classification
Martin Charachon, Roberto Roberto Ardon, Celine Hudelot, Paul-Henry Cournède, Camille Ruppli
![Responsive image](/icpr/media/video_thumbnails/11742.jpg)
Auto-TLDR; Explaining Black-Box Machine Learning Models with Visual Explanation
Abstract Slides Poster Similar
Adversarial Training for Aspect-Based Sentiment Analysis with BERT
Akbar Karimi, Andrea Prati, Leonardo Rossi
![Responsive image](/icpr/media/video_thumbnails/11940.jpg)
Auto-TLDR; Adversarial Training of BERT for Aspect-Based Sentiment Analysis
Abstract Slides Poster Similar