Sampling Variations of Lead Sheets. Compact Hash Code Learning with Binary Deep Neural Network. The Relationship Between Agnostic Selective Classification Active Learning and the Disagreement Coefficient. Human activity recognition from mobile inertial sensors using recurrence plots. Automatic White-Box Testing of First-Order Logic Ontologies. Conv …

Video Salient Object Detection Using Spatiotemporal Deep Features. Discovering Visual Concept Structure with Sparse and Incomplete Tags. Multi-modal analysis of genetically-related subjects using SIFT descriptors in brain MRI. Mining Object Parts from CNNs via Active Question-Answering. Pre-training Attention Mechanisms. Learning to Detect Human-Ob …

One-Shot Learning for Semantic Segmentation. RED: Reinforced Encoder-Decoder Networks for Action Anticipation. End-to-end Learning of Deterministic Decision Trees. Deep Koalarization: Image Colorization using CNNs and Inception-ResNet-v2. Detecting and Recognizing Human-Object Interactions. Interpretability Beyond Feature Attribution: Quantitative …

The Kinetics Human Action Video Dataset. Adversarial Variational Optimization of Non-Differentiable Simulators. EmoAtt at EmoInt-2017: Inner attention sentence embedding for Emotion Intensity. On better training the infinite restricted Boltzmann machines. Rainbow: Combining Improvements in Deep Reinforcement Learning. Learning Spatio-Temporal Repre …

Blind Image Fusion for Hyperspectral Imaging with the Directional Total Variation. Rotational Unit of Memory. Deep and Confident Prediction for Time Series at Uber. Cynical Selection of Language Model Training Data. Temporal Relational Reasoning in Videos. End-to-end Neural Coreference Resolution. Deep Rotation Equivariant Network. Classification w …

Bipartite Graph Matching for Keyframe Summary Evaluation. A recommender system to restore images with impulse noise. Warped-Linear Models for Time Series Classification. Semi-analytical approximations to statistical moments of sigmoid and softmax mappings of normal variables. On Learning Mixtures of Well-Separated Gaussians. Fiber-Flux Diffusion De …

Multivariate Regression with Gross Errors on Manifold-valued Data. Deep Semantic Abstractions of Everyday Human Activities: On Commonsense Representations of Human Interactions. EMR-based medical knowledge representation and inference via Markov random fields and distributed representation learning. Care about you: towards large-scale human-centric …

Mitigating the Impact of Speech Recognition Errors on Chatbot using Sequence-to-Sequence Model. An Empirical Bayes Approach for High Dimensional Classification. Recovering Dense Tissue Multispectral Signal from in vivo RGB Images. Types of Cognition and its Implications for future High-Level Cognitive Machines. A clever elimination strategy for eff …

Stochastic Maximum Likelihood Optimization via Hypernetworks. The Power of Sparsity in Convolutional Neural Networks. Dynamic texture recognition using time-causal and time-recursive spatio-temporal receptive fields. On Detection of Faint Edges in Noisy Images. Evaluation of Automatic Video Captioning Using Direct Assessment. Rotation Adaptive Visu …

Open-Set Language Identification. Towards Social Autonomous Vehicles: Efficient Collision Avoidance Scheme Using Richardson’s Arms Race Model. CollabLoc: Privacy-Preserving Multi-Modal Localization via Collaborative Information Fusion. In Search of an Entity Resolution OASIS: Optimal Asymptotic Sequential Importance Sampling. Attentional Pooling fo …

Generating Different Story Tellings from Semantic Representations of Narrative. Exploring the Regularity of Sparse Structure in Convolutional Neural Networks. Conceptual Text Summarizer: A new model in continuous vector space. Relation Extraction : A Survey. Coordinate Descent with Bandit Sampling. Message Passing Stein Variational Gradient Descent …