Convergence rates for optimised adaptive importance samplers. DAZSL: Dynamic Attributes for Zero-Shot Learning. Visualizing the Invisible: Occluded Vehicle Segmentation and Recovery. Identifying Offensive Posts and Targeted Offense from Twitter. AutoPhase: Compiler Phase-Ordering for High Level Synthesis with Deep Reinforcement Learning. The Semant …

How Much Over-parameterization Is Sufficient to Learn Deep ReLU Networks?. Towards Interpretable Deep Neural Networks by Leveraging Adversarial Examples. Advocacy Learning: Learning through Competition and Class-Conditional Representations. Deep Non-Rigid Structure from Motion with Missing Data. RadioUNet: Fast Radio Map Estimation with Convolution …

Stacked Capsule Autoencoders. ICDAR 2019 Competition on Image Retrieval for Historical Handwritten Documents. Segmenting the Future. Beyond Personalization: Social Content Recommendation for Creator Equality and Consumer Satisfaction. GradNet: Gradient-Guided Network for Visual Object Tracking. Retrieval-based Localization Based on Domain-invariant …

Tensor-Ring Nuclear Norm Minimization and Application for Visual Data Completion. Online News Media Website Ranking Using User Generated Content. Lifelong Bayesian Optimization. Leveraging Medical Visual Question Answering with Supporting Facts. Structure Learning for Neural Module Networks. Autoregressive Models: What Are They Good For?. Potential …

Fitness Done Right: a Real-time Intelligent Personal Trainer for Exercise Correction. Distributed Synthesis of Surveillance Strategies for Mobile Sensors. Visualizing Topographic Independent Component Analysis with Movies. GRP Model for Sensorimotor Learning. On Multi-Armed Bandit Designs for Phase I Clinical Trials. Trees and Islands – Machine le …

Effective and Efficient Indexing in Cross-Modal Hashing-Based Datasets. Multi-Object Portion Tracking in 4D Fluorescence Microscopy Imagery with Deep Feature Maps. Convolutional Neural Network-based Speech Enhancement for Cochlear Implant Recipients. The Second DIHARD Diarization Challenge: Dataset, task, and baselines. Some Considerations and a Be …

Biases for Emergent Communication in Multi-agent Reinforcement Learning. LOGAN: Unpaired Shape Transform in Latent Overcomplete Space. Adversarial Attacks on Spoofing Countermeasures of automatic speaker verification. Human detection of machine manipulated media. Self-Adaptive Soft Voice Activity Detection using Deep Neural Networks for Robust Spea …

Cortical-inspired Wilson-Cowan-type equations for orientation-dependent contrast perception modelling. Lower bounds for testing graphical models: colorings and antiferromagnetic Ising models. Compacting, Picking and Growing for Unforgetting Continual Learning. Intelligent Solution System towards Parts Logistics Optimization. An Ensemble SVM-based A …

Reachability and Coverage Planning for Connected Agents: Extended Version. Amora: Black-box Adversarial Morphing Attack. Dynamic Graph Attention for Referring Expression Comprehension. Learning More with Less: Conditional PGGAN-based Data Augmentation for Brain Metastases Detection Using Highly-Rough Annotation on MR Images. Detection of LDDoS Atta …

Social Influence-based Attentive Mavens Mining and Aggregative Representation Learning for Group Recommendation. Integrating Behavior Cloning and Reinforcement Learning for Improved Performance in Sparse Reward Environments. A Specialized Evolutionary Strategy Using Mean Absolute Error Random Sampling to Design Recurrent Neural Networks. Performanc …

Spiking neural networks trained with backpropagation for low power neuromorphic implementation of voice activity detection. Deep Learning Based Video System for Accurate and Real-Time Parking Measurement. Analysis and development of an automatic eCall for motorcycles: a one-class cepstrum approach. Multiplicative modulations in hue-selective cells …

Enforcing Deterministic Constraints on Generative Adversarial Networks for Emulating Physical Systems. A Combination of Temporal Sequence Learning and Data Description for Anomaly-based NIDS. Dynamic Context Correspondence Network for Semantic Alignment. Locally adaptive activation functions with slope recovery term for deep and physics-informed ne …

Inverse Projection Representation and Category Contribution Rate for Robust Tumor Recognition. Scalable Model Compression by Entropy Penalized Reparameterization. The Use of Mutual Coherence to Prove $\ell^1/\ell^0$-Equivalence in Classification Problems. Structure-adaptive manifold estimation. DGSAN: Discrete Generative Self-Adversarial Network. L …

A multiscale Laplacian of Gaussian (LoG) filtering approach to pulmonary nodule detection from whole-lung CT scans. Transition-Based Deep Input Linearization. Neural Aspect and Opinion Term Extraction with Mined Rules as Weak Supervision. Interactive Language Learning by Question Answering. City-level Geolocation of Tweets for Real-time Visual Anal …