A New Convex Loss Function for Multiple Instance Support Vector Machines
![Responsive image](/icpr/media/video_thumbnails/11969.jpg)
Auto-TLDR; WR-SVM: A Novel Multiple Instance SVM for Video Classification
Similar papers
Sparse Network Inversion for Key Instance Detection in Multiple Instance Learning
Beomjo Shin, Junsu Cho, Hwanjo Yu, Seungjin Choi
![Responsive image](/icpr/media/video_thumbnails/11349.jpg)
Auto-TLDR; Improving Attention-based Deep Multiple Instance Learning for Key Instance Detection (KID)
Abstract Slides Poster Similar
Low-Cost Lipschitz-Independent Adaptive Importance Sampling of Stochastic Gradients
Huikang Liu, Xiaolu Wang, Jiajin Li, Man-Cho Anthony So
![Responsive image](/icpr/media/video_thumbnails/11106.jpg)
Auto-TLDR; Adaptive Importance Sampling for Stochastic Gradient Descent
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
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 Sign-Constrained Support Vector Machines
Kenya Tajima, Kouhei Tsuchida, Esmeraldo Ronnie Rey Zara, Naoya Ohta, Tsuyoshi Kato
![Responsive image](/icpr/media/video_thumbnails/11245.jpg)
Auto-TLDR; Constrained Sign Constraints for Learning Linear Support Vector Machine
Hierarchical Multimodal Attention for Deep Video Summarization
Melissa Sanabria, Frederic Precioso, Thomas Menguy
![Responsive image](/icpr/media/video_thumbnails/11841.jpg)
Auto-TLDR; Automatic Summarization of Professional Soccer Matches Using Event-Stream Data and Multi- Instance Learning
Abstract Slides Poster Similar
Feature Extraction and Selection Via Robust Discriminant Analysis and Class Sparsity
![Responsive image](/icpr/media/video_thumbnails/11751.jpg)
Auto-TLDR; Hybrid Linear Discriminant Embedding for supervised multi-class classification
Abstract Slides Poster Similar
Unveiling Groups of Related Tasks in Multi-Task Learning
Jordan Frecon, Saverio Salzo, Massimiliano Pontil
![Responsive image](/icpr/media/video_thumbnails/11735.jpg)
Auto-TLDR; Continuous Bilevel Optimization for Multi-Task Learning
Abstract Slides Poster Similar
Attention Based Multi-Instance Thyroid Cytopathological Diagnosis with Multi-Scale Feature Fusion
Shuhao Qiu, Yao Guo, Chuang Zhu, Wenli Zhou, Huang Chen
![Responsive image](/icpr/media/video_thumbnails/11279.jpg)
Auto-TLDR; A weakly supervised multi-instance learning framework based on attention mechanism with multi-scale feature fusion for thyroid cytopathological diagnosis
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
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
Deep Multiple Instance Learning with Spatial Attention for ROP Case Classification, Instance Selection and Abnormality Localization
Xirong Li, Wencui Wan, Yang Zhou, Jianchun Zhao, Qijie Wei, Junbo Rong, Pengyi Zhou, Limin Xu, Lijuan Lang, Yuying Liu, Chengzhi Niu, Dayong Ding, Xuemin Jin
![Responsive image](/icpr/media/video_thumbnails/12499.jpg)
Auto-TLDR; MIL-SA: Deep Multiple Instance Learning for Automated Screening of Retinopathy of Prematurity
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
DAIL: Dataset-Aware and Invariant Learning for Face Recognition
Gaoang Wang, Chen Lin, Tianqiang Liu, Mingwei He, Jiebo Luo
![Responsive image](/icpr/media/video_thumbnails/11866.jpg)
Auto-TLDR; DAIL: Dataset-Aware and Invariant Learning for Face Recognition
Abstract Slides Poster Similar
Malware Detection by Exploiting Deep Learning over Binary Programs
Panpan Qi, Zhaoqi Zhang, Wei Wang, Chang Yao
![Responsive image](/icpr/media/video_thumbnails/11974.jpg)
Auto-TLDR; End-to-End Malware Detection without Feature Engineering
Abstract Slides Poster Similar
Feature Extraction by Joint Robust Discriminant Analysis and Inter-Class Sparsity
![Responsive image](/icpr/media/video_thumbnails/11208.jpg)
Auto-TLDR; Robust Discriminant Analysis with Feature Selection and Inter-class Sparsity (RDA_FSIS)
Meta Generalized Network for Few-Shot Classification
Wei Wu, Shanmin Pang, Zhiqiang Tian, Yaochen Li
![Responsive image](/icpr/media/thumbnails/0541_FI.pdf.jpg)
Auto-TLDR; Meta Generalized Network for Few-Shot Classification
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
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
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
Learning Emotional Blinded Face Representations
Alejandro Peña Almansa, Julian Fierrez, Agata Lapedriza, Aythami Morales
![Responsive image](/icpr/media/video_thumbnails/11283.jpg)
Auto-TLDR; Blind Face Representations for Emotion Recognition
Abstract Slides Poster Similar
A Unified Framework for Distance-Aware Domain Adaptation
Fei Wang, Youdong Ding, Huan Liang, Yuzhen Gao, Wenqi Che
![Responsive image](/icpr/media/video_thumbnails/11061.jpg)
Auto-TLDR; distance-aware domain adaptation
Abstract Slides Poster Similar
Cam-Softmax for Discriminative Deep Feature Learning
Tamas Suveges, Stephen James Mckenna
![Responsive image](/icpr/media/video_thumbnails/11591.jpg)
Auto-TLDR; Cam-Softmax: A Generalisation of Activations and Softmax for Deep Feature Spaces
Abstract Slides Poster Similar
Few-Shot Few-Shot Learning and the Role of Spatial Attention
Yann Lifchitz, Yannis Avrithis, Sylvaine Picard
![Responsive image](/icpr/media/video_thumbnails/11174.jpg)
Auto-TLDR; Few-shot Learning with Pre-trained Classifier on Large-Scale Datasets
Abstract Slides Poster Similar
Supervised Domain Adaptation Using Graph Embedding
Lukas Hedegaard, Omar Ali Sheikh-Omar, Alexandros Iosifidis
![Responsive image](/icpr/media/video_thumbnails/11825.jpg)
Auto-TLDR; Domain Adaptation from the Perspective of Multi-view Graph Embedding and Dimensionality Reduction
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
Contextual Classification Using Self-Supervised Auxiliary Models for Deep Neural Networks
Sebastian Palacio, Philipp Engler, Jörn Hees, Andreas Dengel
![Responsive image](/icpr/media/video_thumbnails/11958.jpg)
Auto-TLDR; Self-Supervised Autogenous Learning for Deep Neural Networks
Abstract Slides Poster Similar
Watermelon: A Novel Feature Selection Method Based on Bayes Error Rate Estimation and a New Interpretation of Feature Relevance and Redundancy
![Responsive image](/icpr/media/video_thumbnails/11004.jpg)
Auto-TLDR; Feature Selection Using Bayes Error Rate Estimation for Dynamic Feature Selection
Abstract Slides Poster Similar
Dual-Mode Iterative Denoiser: Tackling the Weak Label for Anomaly Detection
![Responsive image](/icpr/media/video_thumbnails/11686.jpg)
Auto-TLDR; A Dual-Mode Iterative Denoiser for Crowd Anomaly Detection
Abstract Slides Poster Similar
Deep Gait Relative Attribute Using a Signed Quadratic Contrastive Loss
Yuta Hayashi, Shehata Allam, Yasushi Makihara, Daigo Muramatsu, Yasushi Yagi
![Responsive image](/icpr/media/thumbnails/2322_FI.pdf.jpg)
Auto-TLDR; Signal-Contrastive Loss for Gait Attributes Estimation
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
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
Rank-Based Ordinal Classification
![Responsive image](/icpr/media/video_thumbnails/11853.jpg)
Auto-TLDR; Ordinal Classification with Order
Abstract Slides Poster Similar
Space-Time Domain Tensor Neural Networks: An Application on Human Pose Classification
Konstantinos Makantasis, Athanasios Voulodimos, Anastasios Doulamis, Nikolaos Doulamis, Nikolaos Bakalos
![Responsive image](/icpr/media/video_thumbnails/11426.jpg)
Auto-TLDR; Tensor-Based Neural Network for Spatiotemporal Pose Classifiaction using Three-Dimensional Skeleton Data
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
Memetic Evolution of Training Sets with Adaptive Radial Basis Kernels for Support Vector Machines
Jakub Nalepa, Wojciech Dudzik, Michal Kawulok
![Responsive image](/icpr/media/video_thumbnails/11530.jpg)
Auto-TLDR; Memetic Algorithm for Evolving Support Vector Machines with Adaptive Kernels
Abstract Slides Poster Similar
Inferring Tasks and Fluents in Videos by Learning Causal Relations
Haowen Tang, Ping Wei, Huan Li, Nanning Zheng
![Responsive image](/icpr/media/video_thumbnails/11790.jpg)
Auto-TLDR; Joint Learning of Complex Task and Fluent States in Videos
Abstract Slides Poster Similar
Hcore-Init: Neural Network Initialization Based on Graph Degeneracy
Stratis Limnios, George Dasoulas, Dimitrios Thilikos, Michalis Vazirgiannis
![Responsive image](/icpr/media/video_thumbnails/11573.jpg)
Auto-TLDR; K-hypercore: Graph Mining for Deep Neural Networks
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
Multi-Label Contrastive Focal Loss for Pedestrian Attribute Recognition
Xiaoqiang Zheng, Zhenxia Yu, Lin Chen, Fan Zhu, Shilong Wang
![Responsive image](/icpr/media/video_thumbnails/11763.jpg)
Auto-TLDR; Multi-label Contrastive Focal Loss for Pedestrian Attribute Recognition
Abstract Slides Poster Similar
Learning to Rank for Active Learning: A Listwise Approach
Minghan Li, Xialei Liu, Joost Van De Weijer, Bogdan Raducanu
![Responsive image](/icpr/media/video_thumbnails/11540.jpg)
Auto-TLDR; Learning Loss for Active Learning
Quasibinary Classifier for Images with Zero and Multiple Labels
Liao Shuai, Efstratios Gavves, Changyong Oh, Cees Snoek
![Responsive image](/icpr/media/video_thumbnails/11934.jpg)
Auto-TLDR; Quasibinary Classifiers for Zero-label and Multi-label Classification
Abstract Slides Poster Similar
Can Data Placement Be Effective for Neural Networks Classification Tasks? Introducing the Orthogonal Loss
Brais Cancela, Veronica Bolon-Canedo, Amparo Alonso-Betanzos
![Responsive image](/icpr/media/video_thumbnails/10880.jpg)
Auto-TLDR; Spatial Placement for Neural Network Training Loss Functions
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
Augmented Bi-Path Network for Few-Shot Learning
Baoming Yan, Chen Zhou, Bo Zhao, Kan Guo, Yang Jiang, Xiaobo Li, Zhang Ming, Yizhou Wang
![Responsive image](/icpr/media/video_thumbnails/11902.jpg)
Auto-TLDR; Augmented Bi-path Network for Few-shot Learning
Abstract Slides Poster Similar
Teacher-Student Training and Triplet Loss for Facial Expression Recognition under Occlusion
Mariana-Iuliana Georgescu, Radu Ionescu
![Responsive image](/icpr/media/video_thumbnails/11122.jpg)
Auto-TLDR; Knowledge Distillation for Facial Expression Recognition under Occlusion
Class Conditional Alignment for Partial Domain Adaptation
Mohsen Kheirandishfard, Fariba Zohrizadeh, Farhad Kamangar
![Responsive image](/icpr/media/video_thumbnails/10933.jpg)
Auto-TLDR; Multi-class Adversarial Adaptation for Partial Domain Adaptation
Abstract Slides Poster Similar
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