CM-Net: A Novel Collaborative Memory Network for Spoken Language Understanding. Tensor Programs I: Wide Feedforward or Recurrent Neural Networks of Any Architecture are Gaussian Processes. Neural Reverse Engineering of Stripped Binaries. Face Manifold: Manifold Learning for Synthetic Face Generation. Electro-Magnetic Side-Channel Attack Through Lea …

Exploring spectro-temporal features in end-to-end convolutional neural networks. On Slicing Sorted Integer Sequences. Warp and Learn: Novel Views Generation for Vehicles and Other Objects. FFA-Net: Feature Fusion Attention Network for Single Image Dehazing. Transductive Zero-Shot Learning with Visual Structure Constraint. Generalisation dynamics of …

On the convex geometry of blind deconvolution and matrix completion. A Knowledge Transfer Framework for Differentially Private Sparse Learning. Scalable Semi-Supervised SVM via Triply Stochastic Gradients. Pipelines for Procedural Information Extraction from Scientific Literature: Towards Recipes using Machine Learning and Data Science. Detecting A …

#MeTooMA: Multi-Aspect Annotations of Tweets Related to the MeToo Movement. Simple yet efficient real-time pose-based action recognition. Automatic Creation of Text Corpora for Low-Resource Languages from the Internet: The Case of Swiss German. Unsupervised Dialog Structure Learning. EATEN: Entity-aware Attention for Single Shot Visual Text Extract …

KLT Picker: Particle Picking Using Data-Driven Optimal Templates. ALET (Automated Labeling of Equipment and Tools): A Dataset, a Baseline and a Usecase for Tool Detection in the Wild. Towards Compact ConvNets via Structure-Sparsity Regularized Filter Pruning. Learning Robust Options by Conditional Value at Risk Optimization. End-to-end Named Entity …

Thinking Outside the Box: Generation of Unconstrained 3D Room Layouts. Unsupervised Representation Learning by Discovering Reliable Image Relations. Leveraging Knowledge Bases in LSTMs for Improving Machine Reading. Face Behavior à la carte: Expressions, Affect and Action Units in a Single Network. eSports Pro-Players Behavior During the Game Event …

Deep learning for molecular design - a review of the state of the art. Procedural Generation of Initial States of Sokoban. Scalable Hyperbolic Recommender Systems. How far should self-driving cars see? Effect of observation range on vehicle self-localization. Degeneracy in Self-Calibration Revisited and a Deep Learning Solution for Uncalibrated SLA …

Prediction and optimization of mechanical properties of composites using convolutional neural networks. Learning to Clean: A GAN Perspective. An encoding framework with brain inner state for natural image identification. Does Knowledge Transfer Always Help to Learn a Better Policy?. Likelihood Ratios and Generative Classifiers for Unsupervised Out- …

Literal or Pedagogic Human? Analyzing Human Model Misspecification in Objective Learning. Fairness and Diversity in the Recommendation and Ranking of Participatory Media Content. ProLFA: Representative Prototype Selection for Local Feature Aggregation. JUMT at WMT2019 News Translation Task: A Hybrid approach to Machine Translation for Lithuanian to …

Attention Guided Anomaly Localization in Images. Adversarial FDI Attack against AC State Estimation with ANN. Object-Centric Task and Motion Planning in Dynamic Environments. Texture Underfitting for Domain Adaptation. Towards White-box Benchmarks for Algorithm Control. Experience Replay Optimization. Deep Parametric Indoor Lighting Estimation. Who …

Unsupervised Learning and Exploration of Reachable Outcome Space. Data Science through the looking glass and what we found there. Weakly-Supervised Concept-based Adversarial Learning for Cross-lingual Word Embeddings. Implicit Regularization of Discrete Gradient Dynamics in Linear Neural Networks. Native Banach spaces for splines and variational in …

Understanding Straight-Through Estimator in Training Activation Quantized Neural Nets. Spatio-temporal Manifold Learning for Human Motions via Long-horizon Modeling. Graph Convolution for Multimodal Information Extraction from Visually Rich Documents. Early Prediction of Alzheimer’s Disease Dementia Based on Baseline Hippocampal MRI and 1-Year Foll …

Guaranteed Validity for Empirical Approaches to Adaptive Data Analysis. NASA: Neural Articulated Shape Approximation. Deep Reinforcement Learning Based Dynamic Trajectory Control for UAV-assisted Mobile Edge Computing. Predicting dynamical system evolution with residual neural networks. Android Malware Detection Using Autoencoder. Gender Prediction …

Learning Residual Flow as Dynamic Motion from Stereo Videos. Using image-extracted features to determine heart rate and blink duration for driver sleepiness detection. Apricot variety classification using image processing and machine learning approaches. Scalable Global Alignment Graph Kernel Using Random Features: From Node Embedding to Graph Embe …

Flexible information routing in neural populations through stochastic comodulation. GAN Driven Semi-distant Supervision for Relation Extraction. YNU_DYX at SemEval-2019 Task 9: A Stacked BiLSTM for Suggestion Mining Classification. Identifying Sensible Lexical Relations in Generated Stories. THU_NGN at SemEval-2019 Task 12: Toponym Detection and …

JW300: A Wide-Coverage Parallel Corpus for Low-Resource Languages. Corpus Creation and Analysis for Named Entity Recognition in Telugu-English Code-Mixed Social Media Data. Team Harry Friberg at SemEval-2019 Task 4: Identifying Hyperpartisan News through Editorially Defined Metatopics. 'UFAL-Oslo at MRP 2019: Garage Sale Semantic Parsing. SAIL-VOS …