Adversarial machine learning
An Improved (Adversarial) Reprogramming Technique for Neural Networks
Adversarial Robustness in Deep Learning: Attacks on Fragile Neurons
How to compare adversarial robustness of classifiers from a global perspective
Multiple-Model based Defense for Deep Reinforcement Learning against Adversarial Attack
Neural Paraphrase Generation with Multi-Domain Corpus
Leveraging Adversarial Training to Facilitate Grammatical Error Correction
Statistical Certification of Acceptable Robustness for Neural Networks
Model Extraction and Adversarial Attacks on Neural Networks using Switching Power Information
Anomaly detection
o 0097 - CmaGraph: A TriBlocks Anomaly Detection Method in Dynamic Graph Using Evolutionary Community Representation Learning
Falcon: Malware Detection and Categorization with Network Traffic Images
Attention-based Bi-LSTM for Anomaly Detection on Time-Series Data
Semi-supervised Graph Edge Convolutional Network for Anomaly Detection
Feature Creation Towards the Detection of Non-Control-Flow Hijacking Attacks
Attention and transformers I
An Attention Module for Convolutional Neural Networks
Attention-based 3D neural architectures for predicting cracks in designs
Entity-aware Biaffine Attention for Constituent Parsing
Attention-based Multi-View Feature Fusion for Cross-Domain Recommendation
Say in Human-like Way: Hierarchical Cross-modal Information Abstraction and Summarization for Controllable Captioning
DAEMA: Denoising Autoencoder with Mask Attention
Spatial-Temporal Traffic Data Imputation via Graph Attention Convolutional Network
EGAT: Edge-Featured Graph Attention Network
Attention and transformers II
Knowledge Graph Enhanced Transformer for Generative Question Answering Tasks
GAttANet: Global attention agreement for convolutional neural networks
Classification Models for Partially Ordered Sequences
TINet: Multi-dimensional Traffic Data Imputation via Transformer Network
Sequential Self-Attentive model for Knowledge Tracing
Multi-Object Tracking based on Nearest Optimal Template Library
TSTNet: A Sequence to Sequence Transformer Network for Spatial-temporal Traffic Prediction
Audio and multimodal applications
A multimode two-stream network for egocentric action recognition
Behavior of Keyword Spotting Networks Under Noisy Conditions
Robust Stroke Recognition via Vision and IMU in Robotic Table Tennis
AMVAE: Asymmetric Multimodal Variational Autoencoder for Multi-view Representation
Enhancing Separate Encoding with Multi-layer Feature Alignment for Image-Text Matching
Bird Audio Diarization with Faster R-CNN
Multi-Modal Chorus Recognition for Improving Song Search
FaVoA: Face-Voice Association Favours Ambiguous Speaker Detection
Bioinformatics and biosignal analysis
Identification of Incorrect Karyotypes Using Deep Learning
A Metagraph-Based Model for Predicting Drug-Target Interaction on Heterogeneous Network
Evaluating Multiple-Concept Biomedical Hypotheses Based on Deep Sets
A Network Embedding Based Approach to Drug-Target Interaction Prediction Using Additional Implicit Networks
Capsule networks
CNNapsule: A Lightweight Network with Fusion Features for Monocular Depth Estimation
Learning Optimal Primary Capsules by Information Bottleneck
Capsule Networks with Routing Annealing
Training Deep Capsule Networks with Residual Connections
Cognitive models
Interpretable Visual Understanding with Cognitive Attention Network
A Bio-Inspired Mechanism Based on Neural Threshold Regulation to Compensate Variability in Network Connectivity
A Predictive Coding Account for Chaotic Itinerancy
A Computational Model of the Effect of Short-Term Monocular Deprivation on Binocular Rivalry in the Context of Amblyopia
Transitions among metastable states underlie context-dependent working memories in a multiple timescale network.