User Diverse Preference Modeling by Multimodal Attentive Metric Learning. Byte-Pair Encoding for Text-to-SQL Generation. MIST: A Novel Training Strategy for Low-latencyScalable Neural Net Decoders. Querying Knowledge via Multi-Hop English Questions. Robot Localization in Floor Plans Using a Room Layout Edge Extraction Network. Unsupervised Discover …

Uncertainty-guided Continual Learning with Bayesian Neural Networks. Continual learning with hypernetworks. Uncertainty-based Continual Learning with Adaptive Regularization. ProbAct: A Probabilistic Activation Function for Deep Neural Networks. Hardware Aware Neural Network Architectures using FbNet. Hierarchically Structured Meta-learning. Improv …

Probabilistic Deterministic Finite Automata and Recurrent Networks, Revisited. Instance-Aware Representation Learning and Association for Online Multi-Person Tracking. An Investigation into Neural Net Optimization via Hessian Eigenvalue Density. A Relation-Augmented Fully Convolutional Network for Semantic Segmentation in Aerial Scenes. FACLSTM: Co …

Trident: Efficient 4PC Framework for Privacy Preserving Machine Learning. Learning Visual Relation Priors for Image-Text Matching and Image Captioning with Neural Scene Graph Generators. Synthetic Neural Vision System Design for Motion Pattern Recognition in Dynamic Robot Scenes. On Predictive Information in RNNs. ContCap: A comprehensive framework …

Wearable Sensor Data Based Human Activity Recognition using Machine Learning: A new approach. Privacy-Utility Trade-off of Linear Regression under Random Projections and Additive Noise. Milli-RIO: Ego-Motion Estimation with Millimetre-Wave Radar and Inertial Measurement Unit Sensor. Oriented Boxes for Accurate Instance Segmentation. Accelerating Mi …

Motion Capture from Pan-Tilt Cameras with Unknown Orientation. Diversity-Promoting Deep Reinforcement Learning for Interactive Recommendation. Risk of the Least Squares Minimum Norm Estimator under the Spike Covariance Model. DysLexML: Screening Tool for Dyslexia Using Machine Learning. Acoustically Grounded Word Embeddings for Improved Acoustics-t …

One-Way Prototypical Networks. A Weakly Supervised Method for Instance Segmentation of Biological Cells. Learning Radiative Transfer Models for Climate Change Applications in Imaging Spectroscopy. Simple, Fast, Accurate Intent Classification and Slot Labeling for Goal-Oriented Dialogue Systems. The Trustworthy Pal: Controlling the False Discovery R …

LSH Microbatches for Stochastic Gradients: Value in Rearrangement. SemEval-2019 Task 5: Multilingual Detection of Hate Speech Against Immigrants and Women in Twitter. Improving deep forest by confidence screening. Does Multi-Task Learning Always Help?: An Evaluation on Health Informatics. BEHAVIOR MODULE IN NEURAL NETWORKS. Causal importance of ori …