Mitigating the Curse of Dimensionality for Certified Robustness via Dual Randomized Smoothing Purify Unlearnable Examples via Rate-Constrained Variational Autoencoders Yi Yu, Yufei Wang, Song Xia, Wenhan Yang, Shijian Lu, Yap-Peng Tan, Alex C. Kot, 2024 International Conference on Machine Learning (ICML)Concept Alignment: Integrating Clinical Pace-adaptive and Noise-resistant Contrastive Learning for Multimodal Feature Fusion
Rethinking Attention-Model Explainability through Faithfulness Violation Test Attentive Graph Neural Networks for Few-Shot Learning Towards Domain Generalized Pruning by Scoring Out-Of-Distribution Importance Deep Multimodal Sequence Fusion by Regularized Expressive Representation Distillation Site Selection via Learning Graph Convolutional Neural Networks: A Case Study of Singapore Learning to Solve Multiple-TSP With Time Window and Rejections via Deep Reinforcement Learning TEMPO: A Transformer-based Mutation Prediction Framework for SARS-CoV-2 Evolution
Towards Efficiently Evaluating the Robustness of Deep Neural Networks in IoT Systems: A GAN-based Method Embracing the Dark Knowledge: Domain Generalization Using Regularized Knowledge Distillation AI-GAN: Attack-Inspired Generation of Adversarial Examples DisP+V: A Unified Framework for Disentangling Prototype and Variation from Single Sample per Person Deep Learning Based Joint Detection for OFDM-NOMA Scheme VD-GAN: A Unified Framework for Joint Prototype and Representation Learning from Contaminated Single Sample per Person
Domain Generalization for Medical Imaging Classification with Linear-Dependency Regularization Improving Robustness of DNNs against Common Corruptions via Gaussian Adversarial Training Unsupervised Domain Adaptation in the Wild via Disentangling Represention Learning Exploring Bottom-up and Top-down Cues with Attentive Learning for Webly Supervised Object Detection A Hybrid Structural Sparse Error Model for Image Deblocking Heterogeneous Domain Generalization via Domain Mixup
Pruning 3D Filters for Accelerating 3D ConvNets Heterogeneous Domain Adaptation via Nonlinear Matrix Factorization Hetergeneous oTransfer Learning via Deep Matrix Completion with Adversarial Kernel Embedding
Inf2vec: Latent Representation Model for Social Influence Embedding Deep Representation Learning for Trajectory Similarity Computation Autoregressive Generative Adversarial Networks Look, Imagine and Match: Improving Textual-Visual Cross-Modal Retrieval with Generative Models Recent advances in convolutional neural networks Improved Network Robustness with Adversary Critic Zero-Shot Learning via Category-Specific Visual-Semantic Mapping and Label Refinement Brand-Aware Fashion Clothing Search using CNN Feature Encoding and Re-ranking Domain Generalization with Adversarial Feature Learning Haoliang
Li, Sinno Jialin Pan, Shiqi Wang and Alex C. Kot, IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2018
Discovering Pollution Sources and Propagation Patterns in Urban Area DelugeNets: Deep Networks with Efficient and Flexible Cross-layer Information Inflows S-CNN: Subcategory-Aware Convolutional Networks for Object Detection
Topic Exploration in Spatio-Temporal Document Collections Towards Personalized Maps: Mining User Preferences from Geotextual Data A System for Region Search and Exploration Learning Common and Specific Features for RGB-D Semantic Segmentation with Deconvolutional Networks
Efficient Algorithms for Answering the m-Closest Keywords Query Recent Advances in Convolutional Neural Networks Visual Product Search for Fashion Domain: From Hand-crafted features to Deep Learning Integrating Parametric and Non-parametric Models For Scene Labeling Multi-Manifold Deep Learning for Image Set Classification
Learning Discriminative Hierarchical Features for Object Recognition Learning Discriminative and Shareable Features for Scene Classification
