Fast Distance-based Anomaly Detection in Images Using an Inception-like Autoencoder. Learning Unbiased Representations via Mutual Information Backpropagation. A Physical Embedding Model for Knowledge Graphs. GridMask Data Augmentation. An Analysis on the Learning Rules of the Skip-Gram Model. Smart Induction for Isabelle/HOL (System Description). A …

TREC CAsT 2019: The Conversational Assistance Track Overview. Multi-task Learning with Multi-head Attention for Multi-choice Reading Comprehension. Incorporating BERT into Neural Machine Translation. Demographic Bias in Presentation Attack Detection of Iris Recognition Systems. Robust Iris Presentation Attack Detection Fusing 2D and 3D Information. …

Combining 3D Model Contour Energy and Keypoints for Object Tracking. Pose-Assisted Multi-Camera Collaboration for Active Object Tracking. GAN Compression: Efficient Architectures for Interactive Conditional GANs. Safety Concerns and Mitigation Approaches Regarding the Use of Deep Learning in Safety-Critical Perception Tasks. Conditional Variational …

ReluDiff: Differential Verification of Deep Neural Networks. DeepFake Detection: Current Challenges and Next Steps. Taking a hint: How to leverage loss predictors in contextual bandits?. FDFtNet: Facing Off Fake Images using Fake Detection Fine-tuning Network. Decentralized Multi-player Multi-armed Bandits with No Collision Information. Near-linear …

Diving into Optimization of Topology in Neural Networks. Stabilizing Transformers for Reinforcement Learning. Aggregating explanation methods for neural networks stabilizes explanations. Accelerated Variance Reduced Stochastic Extragradient Method for Sparse Machine Learning Problems. Attributed Graph Learning with 2-D Graph Convolution. Chordal-GC …