Collapsed Amortized Variational Inference for Switching Nonlinear Dynamical Systems
Predictive Coding for Locally-Linear Control
Bootstrapping Upper Confidence Bound
Thompson Sampling and Approximate Inference
Contextual Attention for Hand Detection in the Wild
Transferability and Hardness of Supervised Classification Tasks
Training Variational Autoencoders with Buffered Stochastic Variational Inference
Prediction, Consistency, Curvature: Representation Learning for Locally-Linear Control
A neural joint model for Vietnamese word segmentation, POS tagging and dependency parsing
Infinite Dropout for training Bayesian models from data streams
On Densification for Minwise Hashing
From Implicit to Explicit Feedbacks: A deep neural network for modeling the sequential behaviors of online users
WorkingHands: A Hand-Tool Assembly Dataset for Image Segmentation and Activity Mining
Multi-view Consistency for Relation Extraction via Mutual Information and Structure Prediction
A Joint Model for Definition Extraction with Syntactic Connection and Semantic Consistency
Multi-task Learning for Metaphor Detection with Graph Convolutional Neural Networks and Word Sense Disambiguation
On Unbalanced Optimal Transport: An Analysis of Sinkhorn Algorithm
ChEMU: Named Entity Recognition and Event Extraction of Chemical Reactions from Patents