Temporal Human Action Segmentation via Dynamic Clustering. Beyond the Selected Completely At Random Assumption for Learning from Positive and Unlabeled Data. Crawling in Rogue’s dungeons with (partitioned) A3C. An Empirical Evaluation of Generic Convolutional and Recurrent Networks for Sequence Modeling. PoPPy: A Point Process Toolbox Based on PyTo …

Incentivizing Exploration with Selective Data Disclosure. Diacritization of Maghrebi Arabic Sub-Dialects. Object detection at 200 Frames Per Second. Fast and Robust Small Infrared Target Detection Using Absolute Directional Mean Difference Algorithm. Variational Rejection Sampling. Natural language understanding for task oriented dialog in the biom …

Autoencoder Based Sample Selection for Self-Taught Learning. Chinese Poetry Generation with Flexible Styles. IamNN: Iterative and Adaptive Mobile Neural Network for Efficient Image Classification. Lexico-acoustic Neural-based Models for Dialog Act Classification. RiFCN: Recurrent Network in Fully Convolutional Network for Semantic Segmentation of H …

Algorithms for solving optimization problems arising from deep neural net models: smooth problems. NeuralNetwork-Viterbi: A Framework for Weakly Supervised Video Learning. Inflection-Tolerant Ontology-Based Named Entity Recognition for Real-Time Applications. Weakly-Supervised Action Segmentation with Iterative Soft Boundary Assignment. A Multi-Sta …

Clustrophile 2: Guided Visual Clustering Analysis. How to Improve Your Speaker Embeddings Extractor in Generic Toolkits. Can machine learning identify interesting mathematics? An exploration using empirically observed laws. Actor and Action Video Segmentation from a Sentence. Diachronic Usage Relatedness (DURel): A Framework for the Annotation of L …

Brain decoding from functional MRI using long short-term memory recurrent neural networks. f-CNN$^{\text{x}}$: A Toolflow for Mapping Multiple Convolutional Neural Networks on FPGAs. Analysis of regularized Nyström subsampling for regression functions of low smoothness. Adversarially Robust Optimization with Gaussian Processes. A Variational Time S …

Predicting Blood Glucose with an LSTM and Bi-LSTM Based Deep Neural Network. Cosmic String Detection with Tree-Based Machine Learning. Dynamic Filtering with Large Sampling Field for ConvNets. Linear solution to the minimal absolute pose rolling shutter problem. Transformation on Computer-Generated Facial Image to Avoid Detection by Spoofing Detect …

Lazy Modeling of Variants of Token Swapping Problem and Multi-agent Path Finding through Combination of Satisfiability Modulo Theories and Conflict-based Search. VideoCapsuleNet: A Simplified Network for Action Detection. Active Learning with Logged Data. Multi-Sensor Integration for Indoor 3D Reconstruction. Assigning a Grade: Accurate Measurement …

Enhancing Universal Dependency Treebanks: A Case Study. LMU Munich’s Neural Machine Translation Systems at WMT 2018. A Bayesian Nonparametric Topic Model with Variational Auto-Encoders. 100 Things You Always Wanted to Know about Semantics & Pragmatics But Were Afraid to Ask. Rolling Shutter Pose and Ego-motion Estimation using Shape-from-Template. …

Video Prediction via Selective Sampling. NEUROSENT-PDI at SemEval-2018 Task 3: Understanding Irony in Social Networks Through a Multi-Domain Sentiment Model. Learning to Treat Sepsis with Multi-Output Gaussian Process Deep Recurrent Q-Networks. A Neural Local Coherence Model for Text Quality Assessment. ``Fingers in the Nose’': Evaluating Speakers’ …