A Discourse-Aware Attention Model for Abstractive Summarization of Long Documents. Local Spectral Graph Convolution for Point Set Feature Learning. Scheduled Policy Optimization for Natural Language Communication with Intelligent Agents. MLtuner: System Support for Automatic Machine Learning Tuning. Traffic Graph Convolutional Recurrent Neural Netw …

Graph Neural Networks: A Review of Methods and Applications. Deep contextualized word representations. Towards Principled Design of Deep Convolutional Networks: Introducing SimpNet. DensePose: Dense Human Pose Estimation In The Wild. Optimal Transport for structured data with application on graphs. Machine Teaching for Inverse Reinforcement Learnin …

Learning Free-Form Deformations for 3D Object Reconstruction. Dense 3D Object Reconstruction from a Single Depth View. Adversarial Vision Challenge. Towards a Robust Parameterization for Conditioning Facies Models Using Deep Variational Autoencoders and Ensemble Smoother. Heterogeneous Multi-output Gaussian Process Prediction. DeepDRR – A Catalyst …

Bayesian sparse reconstruction: a brute-force approach to astronomical imaging and machine learning. AttentionXML: Label Tree-based Attention-Aware Deep Model for High-Performance Extreme Multi-Label Text Classification. Hierarchical Quantized Representations for Script Generation. Simple Baselines for Human Pose Estimation and Tracking. Mapping In …

Weakly-supervised Contextualization of Knowledge Graph Facts. Human Action Recognition and Prediction: A Survey. Distributed Inference for Linear Support Vector Machine. Blur-Countering Keypoint Detection via Eigenvalue Asymmetry. Jointly identifying opinion mining elements and fuzzy measurement of opinion intensity to analyze product features. Tig …

DropFilter: A Novel Regularization Method for Learning Convolutional Neural Networks. End-to-end Audiovisual Speech Activity Detection with Bimodal Recurrent Neural Models. Minimax Lower Bounds for $\mathcal{H}_\infty$-Norm Estimation. Encoding Implicit Relation Requirements for Relation Extraction: A Joint Inference Approach. MONET: Multiview Semi …

N-BaIoT: Network-based Detection of IoT Botnet Attacks Using Deep Autoencoders. Contextual Augmentation: Data Augmentation by Words with Paradigmatic Relations. Sequence-to-Sequence Data Augmentation for Dialogue Language Understanding. Text Data Augmentation Made Simple By Leveraging NLP Cloud APIs. Lenia - Biology of Artificial Life. The Fast and …

Towards Automated Customer Support. Hybrid-MST: A Hybrid Active Sampling Strategy for Pairwise Preference Aggregation. Comparison of Reinforcement Learning algorithms applied to the Cart Pole problem. 3D-LMNet: Latent Embedding Matching for Accurate and Diverse 3D Point Cloud Reconstruction from a Single Image. Fortified Networks: Improving the Rob …

Deep Content-User Embedding Model for Music Recommendation. R-grams: Unsupervised Learning of Semantic Units in Natural Language. Convolutional Deblurring for Natural Imaging. MultiPoseNet: Fast Multi-Person Pose Estimation using Pose Residual Network. Variational Discriminator Bottleneck: Improving Imitation Learning, Inverse RL, and GANs by Const …

Structured Control Nets for Deep Reinforcement Learning. Variational Bayesian Weighted Complex Network Reconstruction. TD or not TD: Analyzing the Role of Temporal Differencing in Deep Reinforcement Learning. RMDL: Random Multimodel Deep Learning for Classification. Multiview Supervision By Registration. Learning Dynamic Memory Networks for Object …

Machine Learning for Combinatorial Optimization: a Methodological Tour d’Horizon. Towards a more efficient representation of imputation operators in TPOT. Differentiable Greedy Networks. CNN-Based Detection of Generic Constrast Adjustment with JPEG Post-processing. Combinatorial Optimization with Graph Convolutional Networks and Guided Tree Search. …

Robust Estimation via Robust Gradient Estimation. Image Score: How to Select Useful Samples. Multi-Scale Supervised Network for Human Pose Estimation. Hybrid Forests for Left Ventricle Segmentation using only the first slice label. Beyond black-boxes in Bayesian inverse problems and model validation: applications in solid mechanics of elastography. …

RGB-T Object Tracking:Benchmark and Baseline. Multi-Domain Pose Network for Multi-Person Pose Estimation and Tracking. An Analysis of the Semantic Annotation Task on the Linked Data Cloud. Praaline: Integrating Tools for Speech Corpus Research. Contrasting information theoretic decompositions of modulatory and arithmetic interactions in neural info …

Generative Adversarial Network with Spatial Attention for Face Attribute Editing. From Text to Lexicon: Bridging the Gap between Word Embeddings and Lexical Resources. How SGD Selects the Global Minima in Over-parameterized Learning: A Dynamical Stability Perspective. SEDANSPOT: Detecting Anomalies in Edge Streams. Efficient adaptive non-maximal su …