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
Similar papers
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
Learning Image Inpainting from Incomplete Images using Self-Supervision
Sriram Yenamandra, Rohit Kumar Jena, Ansh Khurana, Suyash Awate
![Responsive image](/icpr/media/video_thumbnails/12143.jpg)
Auto-TLDR; Unsupervised Deep Neural Network for Semantic Image Inpainting
Abstract Slides Poster Similar
GAN-Based Gaussian Mixture Model Responsibility Learning
Wanming Huang, Yi Da Xu, Shuai Jiang, Xuan Liang, Ian Oppermann
![Responsive image](/icpr/media/video_thumbnails/11270.jpg)
Auto-TLDR; Posterior Consistency Module for Gaussian Mixture Model
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
N2D: (Not Too) Deep Clustering Via Clustering the Local Manifold of an Autoencoded Embedding
Ryan Mcconville, Raul Santos-Rodriguez, Robert Piechocki, Ian Craddock
![Responsive image](/icpr/media/video_thumbnails/11484.jpg)
Auto-TLDR; Local Manifold Learning for Deep Clustering on Autoencoded Embeddings
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
Disentangled Representation Learning for Controllable Image Synthesis: An Information-Theoretic Perspective
Shichang Tang, Xu Zhou, Xuming He, Yi Ma
![Responsive image](/icpr/media/video_thumbnails/12099.jpg)
Auto-TLDR; Controllable Image Synthesis in Deep Generative Models using Variational Auto-Encoder
Abstract Slides Poster Similar
Constrained Spectral Clustering Network with Self-Training
Xinyue Liu, Shichong Yang, Linlin Zong
![Responsive image](/icpr/media/video_thumbnails/11195.jpg)
Auto-TLDR; Constrained Spectral Clustering Network: A Constrained Deep spectral clustering network
Abstract Slides Poster Similar
Hierarchical Mixtures of Generators for Adversarial Learning
Alper Ahmetoğlu, Ethem Alpaydin
![Responsive image](/icpr/media/video_thumbnails/10870.jpg)
Auto-TLDR; Hierarchical Mixture of Generative Adversarial Networks
Feature-Aware Unsupervised Learning with Joint Variational Attention and Automatic Clustering
Wang Ru, Lin Li, Peipei Wang, Liu Peiyu
![Responsive image](/icpr/media/video_thumbnails/10947.jpg)
Auto-TLDR; Deep Variational Attention Encoder-Decoder for Clustering
Abstract Slides Poster Similar
AVAE: Adversarial Variational Auto Encoder
Antoine Plumerault, Hervé Le Borgne, Celine Hudelot
![Responsive image](/icpr/media/video_thumbnails/11928.jpg)
Auto-TLDR; Combining VAE and GAN for Realistic Image Generation
Abstract Slides Poster Similar
A Joint Representation Learning and Feature Modeling Approach for One-Class Recognition
Pramuditha Perera, Vishal Patel
![Responsive image](/icpr/media/video_thumbnails/11668.jpg)
Auto-TLDR; Combining Generative Features and One-Class Classification for Effective One-class Recognition
Abstract Slides Poster Similar
Variational Capsule Encoder
Harish Raviprakash, Syed Anwar, Ulas Bagci
![Responsive image](/icpr/media/video_thumbnails/11569.jpg)
Auto-TLDR; Bayesian Capsule Networks for Representation Learning in latent space
Abstract Slides Poster Similar
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
IDA-GAN: A Novel Imbalanced Data Augmentation GAN
![Responsive image](/icpr/media/video_thumbnails/11882.jpg)
Auto-TLDR; IDA-GAN: Generative Adversarial Networks for Imbalanced Data Augmentation
Abstract Slides Poster Similar
Mutual Information Based Method for Unsupervised Disentanglement of Video Representation
Aditya Sreekar P, Ujjwal Tiwari, Anoop Namboodiri
![Responsive image](/icpr/media/video_thumbnails/11641.jpg)
Auto-TLDR; MIPAE: Mutual Information Predictive Auto-Encoder for Video Prediction
Abstract Slides Poster Similar
Reducing the Variance of Variational Estimates of Mutual Information by Limiting the Critic's Hypothesis Space to RKHS
Aditya Sreekar P, Ujjwal Tiwari, Anoop Namboodiri
![Responsive image](/icpr/media/video_thumbnails/12178.jpg)
Auto-TLDR; Mutual Information Estimation from Variational Lower Bounds Using a Critic's Hypothesis Space
Deep Convolutional Embedding for Digitized Painting Clustering
Giovanna Castellano, Gennaro Vessio
![Responsive image](/icpr/media/video_thumbnails/11176.jpg)
Auto-TLDR; A Deep Convolutional Embedding Model for Clustering Artworks
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
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
Single-Modal Incremental Terrain Clustering from Self-Supervised Audio-Visual Feature Learning
Reina Ishikawa, Ryo Hachiuma, Akiyoshi Kurobe, Hideo Saito
![Responsive image](/icpr/media/video_thumbnails/12016.jpg)
Auto-TLDR; Multi-modal Variational Autoencoder for Terrain Type Clustering
Abstract Slides Poster Similar
Video Anomaly Detection by Estimating Likelihood of Representations
![Responsive image](/icpr/media/video_thumbnails/11964.jpg)
Auto-TLDR; Video Anomaly Detection in the latent feature space using a deep probabilistic model
Abstract Slides Poster Similar
Phase Retrieval Using Conditional Generative Adversarial Networks
Tobias Uelwer, Alexander Oberstraß, Stefan Harmeling
![Responsive image](/icpr/media/video_thumbnails/10924.jpg)
Auto-TLDR; Conditional Generative Adversarial Networks for Phase Retrieval
Abstract Slides Poster Similar
A Bayesian Deep CNN Framework for Reconstructing K-T-Undersampled Resting-fMRI
Karan Taneja, Prachi Kulkarni, Shabbir Merchant, Suyash Awate
![Responsive image](/icpr/media/video_thumbnails/11905.jpg)
Auto-TLDR; K-t undersampled R-fMRI Reconstruction using Deep Convolutional Neural Networks
Abstract Slides Poster Similar
Discriminative Multi-Level Reconstruction under Compact Latent Space for One-Class Novelty Detection
Jaewoo Park, Yoon Gyo Jung, Andrew Teoh
![Responsive image](/icpr/media/video_thumbnails/11731.jpg)
Auto-TLDR; Discriminative Compact AE for One-Class novelty detection and Adversarial Example Detection
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
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
Abstract Slides Poster Similar
Combining GANs and AutoEncoders for Efficient Anomaly Detection
Fabio Carrara, Giuseppe Amato, Luca Brombin, Fabrizio Falchi, Claudio Gennaro
![Responsive image](/icpr/media/video_thumbnails/11330.jpg)
Auto-TLDR; CBIGAN: Anomaly Detection in Images with Consistency Constrained BiGAN
Abstract Slides Poster Similar
JECL: Joint Embedding and Cluster Learning for Image-Text Pairs
Sean Yang, Kuan-Hao Huang, Bill Howe
![Responsive image](/icpr/media/video_thumbnails/11888.jpg)
Auto-TLDR; JECL: Clustering Image-Caption Pairs with Parallel Encoders and Regularized Clusters
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
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
Epitomic Variational Graph Autoencoder
Rayyan Ahmad Khan, Muhammad Umer Anwaar, Martin Kleinsteuber
![Responsive image](/icpr/media/video_thumbnails/11744.jpg)
Auto-TLDR; EVGAE: A Generative Variational Autoencoder for Graph Data
Abstract Slides Poster Similar
Semantics-Guided Representation Learning with Applications to Visual Synthesis
Jia-Wei Yan, Ci-Siang Lin, Fu-En Yang, Yu-Jhe Li, Yu-Chiang Frank Wang
![Responsive image](/icpr/media/video_thumbnails/11741.jpg)
Auto-TLDR; Learning Interpretable and Interpolatable Latent Representations for Visual Synthesis
Abstract Slides Poster Similar
Graph Spectral Feature Learning for Mixed Data of Categorical and Numerical Type
Saswata Sahoo, Souradip Chakraborty
![Responsive image](/icpr/media/video_thumbnails/11556.jpg)
Auto-TLDR; Feature Learning in Mixed Type of Variable by an undirected graph
Abstract Slides Poster Similar
Learning Interpretable Representation for 3D Point Clouds
Feng-Guang Su, Ci-Siang Lin, Yu-Chiang Frank Wang
![Responsive image](/icpr/media/video_thumbnails/11777.jpg)
Auto-TLDR; Disentangling Body-type and Pose Information from 3D Point Clouds Using Adversarial Learning
Abstract Slides Poster Similar
Multi-annotator Probabilistic Active Learning
Marek Herde, Daniel Kottke, Denis Huseljic, Bernhard Sick
![Responsive image](/icpr/media/video_thumbnails/12129.jpg)
Auto-TLDR; MaPAL: Multi-annotator Probabilistic Active Learning
Abstract Slides Poster Similar
Ω-GAN: Object Manifold Embedding GAN for Image Generation by Disentangling Parameters into Pose and Shape Manifolds
Yasutomo Kawanishi, Daisuke Deguchi, Ichiro Ide, Hiroshi Murase
![Responsive image](/icpr/media/video_thumbnails/11837.jpg)
Auto-TLDR; Object Manifold Embedding GAN with Parametric Sampling and Object Identity Loss
Abstract Slides Poster Similar
Switching Dynamical Systems with Deep Neural Networks
Cesar Ali Ojeda Marin, Kostadin Cvejoski, Bogdan Georgiev, Ramses J. Sanchez
![Responsive image](/icpr/media/video_thumbnails/11629.jpg)
Auto-TLDR; Variational RNN for Switching Dynamics
Abstract Slides Poster Similar
Quantifying Model Uncertainty in Inverse Problems Via Bayesian Deep Gradient Descent
Riccardo Barbano, Chen Zhang, Simon Arridge, Bangti Jin
![Responsive image](/icpr/media/video_thumbnails/11008.jpg)
Auto-TLDR; Bayesian Neural Networks for Inverse Reconstruction via Bayesian Knowledge-Aided Computation
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
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
Soft Label and Discriminant Embedding Estimation for Semi-Supervised Classification
Fadi Dornaika, Abdullah Baradaaji, Youssof El Traboulsi
![Responsive image](/icpr/media/video_thumbnails/11750.jpg)
Auto-TLDR; Semi-supervised Semi-Supervised Learning for Linear Feature Extraction and Label Propagation
Abstract Slides Poster Similar
Learning Low-Shot Generative Networks for Cross-Domain Data
Hsuan-Kai Kao, Cheng-Che Lee, Wei-Chen Chiu
![Responsive image](/icpr/media/video_thumbnails/11696.jpg)
Auto-TLDR; Learning Generators for Cross-Domain Data under Low-Shot Learning
Abstract Slides Poster Similar
Label Self-Adaption Hashing for Image Retrieval
Jianglin Lu, Zhihui Lai, Hailing Wang, Jie Zhou
![Responsive image](/icpr/media/video_thumbnails/11118.jpg)
Auto-TLDR; Label Self-Adaption Hashing for Large-Scale Image Retrieval
Abstract Slides Poster Similar
Interpolation in Auto Encoders with Bridge Processes
Carl Ringqvist, Henrik Hult, Judith Butepage, Hedvig Kjellstrom
![Responsive image](/icpr/media/video_thumbnails/11588.jpg)
Auto-TLDR; Stochastic interpolations from auto encoders trained on flattened sequences
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
On the Evaluation of Generative Adversarial Networks by Discriminative Models
Amirsina Torfi, Mohammadreza Beyki, Edward Alan Fox
![Responsive image](/icpr/media/video_thumbnails/10956.jpg)
Auto-TLDR; Domain-agnostic GAN Evaluation with Siamese Neural Networks
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