WISDoM: a framework for the Analysis of Wishart distributed matrices. Unique Class Group Based Multi-Label Balancing Optimizer for Action Unit Detection. Unsupervised Enhancement of Real-World Depth Images Using Tri-Cycle GAN. Last Iterate is Slower than Averaged Iterate in Smooth Convex-Concave Saddle Point Problems. Face Attribute Invertion. A Nu …

Optimistic bounds for multi-output prediction. Learning Object Placements For Relational Instructions by Hallucinating Scene Representations. Partial Gromov-Wasserstein with Applications on Positive-Unlabeled Learning. Deontological Ethics By Monotonicity Shape Constraints. Implementing Dynamic Answer Set Programming. A scheme for automatic differe …

Progressive Local Filter Pruning for Image Retrieval Acceleration. On Iterative Neural Network Pruning, Reinitialization, and the Similarity of Masks. A classification for the performance of online SGD for high-dimensional inference. Connecting Dualities and Machine Learning. Learning to be Global Optimizer. End-to-End Face Parsing via Interlinked …

Learning To Detect Keyword Parts And Whole By Smoothed Max Pooling. Ecological Semantics: Programming Environments for Situated Language Understanding. Attention-guided Chained Context Aggregation for Semantic Segmentation. Improving Learning Effectiveness For Object Detection and Classification in Cluttered Backgrounds. Towards Interpretable Seman …

The function of contextual illusions. PDP: A General Neural Framework for Learning SAT Solvers. Project and Forget: Solving Large Scale Metric Constrained Problems. Visual Explanation for Deep Metric Learning. The Frechet Distance of training and test distribution predicts the generalization gap. End to End Trainable Active Contours via Differentia …