Stochastic Gradient Descent in Continuous Time. A Sub-Quadratic Exact Medoid Algorithm. Matching models across abstraction levels with Gaussian Processes. Towards Label Imbalance in Multi-label Classification with Many Labels. Areas of Attention for Image Captioning. Multi-Class Multi-Object Tracking using Changing Point Detection. A Communication- …

Review of the Fingerprint Liveness Detection (LivDet) competition series: 2009 to 2015. Learning Gaze Transitions from Depth to Improve Video Saliency Estimation. Principled Option Learning in Markov Decision Processes. The use of deep learning in image segmentation, classification and detection. A pre-semantics for counterfactual conditionals and …

Multi-Person Pose Estimation with Local Joint-to-Person Associations. Whitening-Free Least-Squares Non-Gaussian Component Analysis. Training Deep Networks for Facial Expression Recognition with Crowd-Sourced Label Distribution. Equality of Opportunity in Supervised Learning. vDNN: Virtualized Deep Neural Networks for Scalable, Memory-Efficient Neur …

DiSMEC - Distributed Sparse Machines for Extreme Multi-label Classification. Semi-supervised Knowledge Transfer for Deep Learning from Private Training Data. Distributed and parallel time series feature extraction for industrial big data applications. A Riemannian Framework for Statistical Analysis of Topological Persistence Diagrams. Programming P …

Hierarchical Partitioning of the Output Space in Multi-label Data. Barzilai-Borwein Step Size for Stochastic Gradient Descent. Funnel Libraries for Real-Time Robust Feedback Motion Planning. Difficulty Adjustable and Scalable Constrained Multi-objective Test Problem Toolkit. Local Maxima in the Likelihood of Gaussian Mixture Models: Structural Resu …

Neural Contextual Conversation Learning with Labeled Question-Answering Pairs. Learning by Stimulation Avoidance: A Principle to Control Spiking Neural Networks Dynamics. Adding Context to Concept Trees. Template shape estimation: correcting an asymptotic bias. Efficient Character-level Document Classification by Combining Convolution and Recurrent …

Embodiment of Learning in Electro-Optical Signal Processors. StuffNet: Using ‘Stuff’ to Improve Object Detection. Online Multi-view Clustering with Incomplete Views. Prediction of future hospital admissions - what is the tradeoff between specificity and accuracy?. Reinforcement Learning algorithms for regret minimization in structured Markov Decisi …

Improving Multi-label Learning with Missing Labels by Structured Semantic Correlations. Regulating Reward Training by Means of Certainty Prediction in a Neural Network-Implemented Pong Game. Comparative study of LSA vs Word2vec embeddings in small corpora: a case study in dreams database. Knowledge-Based Biomedical Word Sense Disambiguation with Ne …

Scale-Free Online Learning. Unanimous Prediction for 100% Precision with Application to Learning Semantic Mappings. A Novel Method for the Extrinsic Calibration of a 2D Laser Rangefinder and a Camera. Classification with Repulsion Tensors: A Case Study on Face Recognition. Shape Distributions of Nonlinear Dynamical Systems for Video-based Inference …

The subset-matched Jaccard index for evaluation of Segmentation for Plant Images. UTA-poly and UTA-splines: additive value functions with polynomial marginals. The polysemy of the words that children learn over time. Relevant sparse codes with variational information bottleneck. A Self-Paced Regularization Framework for Multi-Label Learning. Learni …

Supervised Distributional Hypernym Discovery via Domain Adaptation. Towards Deep Learning in Hindi NER: An approach to tackle the Labelled Data Sparsity. IRT-based Aggregation Model of Crowdsourced Pairwise Comparison for Evaluating Machine Translations. Emotion Distribution Learning from Texts. Generating Abbreviations for Chinese Named Entities U …

Towards Building A Domain Agnostic Natural Language Interface to Real-World Relational Databases. Proceedings of the CoNLL-16 shared task. Graded and Word-Sense-Disambiguation Decisions in Corpus Pattern Analysis: a Pilot Study. Multi-prototype Chinese Character Embedding. A Two-stage Approach for Extending Event Detection to New Types via Neural N …

Gaussian Process Bandit Optimisation with Multi-fidelity Evaluations. Learning Deep Parsimonious Representations. UNIMELB at SemEval-2016 Tasks 4A and 4B: An Ensemble of Neural Networks and a Word2Vec Based Model for Sentiment Classification. Table Filling Multi-Task Recurrent Neural Network for Joint Entity and Relation Extraction. LLSF - Learning …