A Correlation Maximization Approach for Cross Domain Co-Embeddings. Anaconda: A Non-Adaptive Conditional Sampling Algorithm for Distribution Testing. Multi-Agent Fully Decentralized Value Function Learning with Linear Convergence Rates. Ignition: An End-to-End Supervised Model for Training Simulated Self-Driving Vehicles. Data-driven cortical clust …

Fundamental Resource Trade-offs for Encoded Distributed Optimization. Learning Unsupervised Word Mapping by Maximizing Mean Discrepancy. Improve the performance of transfer learning without fine-tuning using dissimilarity-based multi-view learning for breast cancer histology images. Generating Talking Face Landmarks from Speech. Unsupervised Object …

Learning Representations Specialized in Spatial Knowledge: Leveraging Language and Vision. An End-to-End Deep Learning Architecture for Graph Classification. Sequicity: Simplifying Task-oriented Dialogue Systems with Single Sequence-to-Sequence Architectures. Efficient Gradient-Free Variational Inference using Policy Search. Dialog-to-Action: Conve …