Cs-Lg
Activized Learning: Transforming Passive to Active with Improved Label Complexity
A Machine Learning Perspective on Predictive Coding with PAQ
Towards automated symptoms assessment in mental health
Infinite Tucker Decomposition: Nonparametric Bayesian Models for Multiway Data Analysis
No Internal Regret via Neighborhood Watch
Optimization with Sparsity-Inducing Penalties
Premise Selection for Mathematics by Corpus Analysis and Kernel Methods
Learning Neural Activations
Analysis of the Synergy between Modularity and Autonomy in an Artificial Intelligence Based Fleet Competition
Spatiotemporal Emotion Recognition using Deep CNN Based on EEG during Music Listening
Style transfer-based image synthesis as an efficient regularization technique in deep learning
Machine Learning for high speed channel optimization
AI in the media and creative industries
A Cost Effective Solution for Road Crack Inspection using Cameras and Deep Neural Networks
Reducing Commitment to Tasks with Off-Policy Hierarchical Reinforcement Learning
Efficient First Order Methods for Linear Composite Regularizers
The Stabilized Explicit Variable-Load Solver with Machine Learning Acceleration for the Rapid Solution of Stiff Chemical Kinetics
Hypothesize and Bound: A Computational Focus of Attention Mechanism for Simultaneous N-D Segmentation, Pose Estimation and Classification Using Shape Priors
Time Series Simulation by Conditional Generative Adversarial Net
Mediation Challenges and Socio-Technical Gaps for Explainable Deep Learning Applications
A Scalable Framework for Multilevel Streaming Data Analytics using Deep Learning
Preference elicitation and inverse reinforcement learning
