Temporal Recurrent Networks for Online Action Detection. INSPECTRE: Privately Estimating the Unseen. Recurrent Transformer Networks for Semantic Correspondence. Factorizable Net: An Efficient Subgraph-based Framework for Scene Graph Generation. Learning to Reason with Third-Order Tensor Products. Learning Qualitatively Diverse and Interpretable Rul …

The NES Music Database: A multi-instrumental dataset with expressive performance attributes. SING: Symbol-to-Instrument Neural Generator. Lead Sheet Generation and Arrangement by Conditional Generative Adversarial Network. Car Detection using Unmanned Aerial Vehicles: Comparison between Faster R-CNN and YOLOv3. Single Image Reflection Removal Using …

GAN-based Synthetic Medical Image Augmentation for increased CNN Performance in Liver Lesion Classification. Efficiently Learning Nonstationary Gaussian Processes for Real World Impact. The Effect of Explicit Structure Encoding of Deep Neural Networks for Symbolic Music Generation. Modeling Meaning Associated with Documental Entities: Introducing t …

Semi-Recurrent CNN-based VAE-GAN for Sequential Data Generation. BOHB: Robust and Efficient Hyperparameter Optimization at Scale. A New Benchmark and Progress Toward Improved Weakly Supervised Learning. Exploiting the Potential of Standard Convolutional Autoencoders for Image Restoration by Evolutionary Search. FRAGE: Frequency-Agnostic Word Repres …

On the Relation Between the Sharpest Directions of DNN Loss and the SGD Step Length. Sequence-to-Action: End-to-End Semantic Graph Generation for Semantic Parsing. Unsupervised learning from videos using temporal coherency deep networks. This Time with Feeling: Learning Expressive Musical Performance. The Pros and Cons: Rank-aware Temporal Attentio …

Supervised classification of Dermatological diseases by Deep learning. RULLS: Randomized Union of Locally Linear Subspaces for Feature Engineering. Object Ordering with Bidirectional Matchings for Visual Reasoning. 3D PersonVLAD: Learning Deep Global Representations for Video-based Person Re-identification. EgoReID Dataset: Person Re-identification …

Hyperspectral Unmixing Based on Clustered Multitask Networks. Tell Me Why Is It So? Explaining Knowledge Graph Relationships by Finding Descriptive Support Passages. RGB-D SLAM in Dynamic Environments Using Points Correlations. High frame-rate cardiac ultrasound imaging with deep learning. A Survey of Modern Object Detection Literature using Deep L …

Learning a Saliency Evaluation Metric Using Crowdsourced Perceptual Judgments. Video-based Person Re-identification via 3D Convolutional Networks and Non-local Attention. The challenge of realistic music generation: modelling raw audio at scale. Subspace Estimation from Incomplete Observations: A High-Dimensional Analysis. Learning non-Gaussian Tim …

Real-Time Subpixel Fast Bilateral Stereo. An Estimation of Favorite Value in Emotion Generating Calculation by Fuzzy Petri Net. Semantic Driven Multi-Camera Pedestrian Detection. Deep Learning Based Sphere Decoding. Neural network state estimation for full quantum state tomography. Privacy Aware Offloading of Deep Neural Networks. A Study on Dialog …

Deep Recurrent Neural Networks for Product Attribute Extraction in eCommerce. Automated Detection of Adverse Drug Reactions in the Biomedical Literature Using Convolutional Neural Networks and Biomedical Word Embeddings. SfMLearner++: Learning Monocular Depth & Ego-Motion using Meaningful Geometric Constraints. Adaptive Grey-Box Fuzz-Testing with T …